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Steagul PAKISTAN
chitral, pakistan
$5 USD/oră
Momentan, aici e ora 6:16 a.m.
S-a înregistrat pe ianuarie 9, 2021
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Ayaz M.

@AyazMhmd

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$5 USD/oră
Steagul PAKISTAN
chitral, pakistan
$5 USD/oră
Indisponibil
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Indisponibil
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Rata de angajare repetată

Python and AI Developer

I am a professional Python and Machine learning Engineer with 2 years of professional experience, My expertise lies in the fields of Data Science, Machine Learning, Natural Language Processing (NLP), Computer Vision, API development, front interface and Deployment of Model. I possess a solid foundation in these areas specially in the newest model (transformers, langchain, GANs, Generative Models, llama etc) and continuously seek opportunities to expand my knowledge and skillset. With hands-on experience as a data scientist and machine learning Engineer at Glowlogix and research assistant at Medical Imaging and Diagnostic lab, I have worked on cutting-edge projects, utilizing advanced technologies to drive innovation. My ultimate goal is to deliver high-quality work that exceeds expectations, ensuring client satisfaction. If you are seeking a dedicated and skilled data scientist, I am ready to contribute my expertise to your project and drive meaningful results. ------------------------------- PROJECTS ------------------------------- Anomaly Detection From Video streams using Deep learning Techniques Classification and Segmentation of health disease of X-rays, MRI and other Images Accident detection in real time using real time camera Customized Chatbot using LLM Chatgpt API integration in Ecomerce Website Real Time Face Recognition and Identification Different Yolo projects of Object Detection, counting, segmentation etc. Research Projects with clients on medical imaging (classification, segmentation and detection research) YOLO, YOLONAS, RCNN, DeeplabV3, Vision Transformer for detection UNET, Attention guided Unet, transformer based unet, Vnet etc for segmentation Sort, deep sort for tracking Segment anything model finetuning vision transformer model (classification+segmentation) GPT2 and T5 for text generation Gpt2 and llama models for text classification (research work) Resume parsing using bert (own dataset and model is deployed too) Transformer Based Model (Bert, Albert, Roberta,distilbert) Vision transformer and swin transformer Models Model APIs and deployment Siamese Network for face attendance GAN Model (domain translation) Research papers (NLP + Medical Imaging) Achievements: Fine tunning of SAM Model on 2D images (the first to do this) Participated in Mediaeval Competition on disaster MM task (NLP research work) Resume parser module (currently deployed) Alzeihmer classification using Vision and swin transformer (research work) Chatbot API Integration LLM and Langchain fine tunning Generative AI Experience Skills: Python, Flask,Django Machine learning, Computer vision, Tensorflow, Pytorch, Monai, Flask, AWS, Django, Decision Tree, SVM, Random Forest, Arima, Sarima, CNN, RNN, LSTM + GRU, GANs, LLM, Llama, Yolo, OpenCV, SAM, Transformer, Vision Transformer, GPT model fine-tuning, Langchain, Deployment, APIs and AI research Contact Me: For Any type of Consultation, Model Buidling and Deployment
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Portfoliu

11568754
I have an accomplished background in image segmentation, where I've successfully led projects with a focus on precision and accuracy Model I can Work Unet, Attention Unet, Transformer UNET, Deeplabv3, SAM etc Some of my projects Skin Cancer Segmentation using U-Net and TransVit Brain Skull Stripping and Segmentation Smart City Human Segmentation in crowded urban scenes Environmental Impact Assessment through Land Cover Segmentation Automated Tumor Detection in Medical Imaging: segmentation to satellite and aerial imagery to identify and segment buildings
Image segmentation
I have an accomplished background in image segmentation, where I've successfully led projects with a focus on precision and accuracy Model I can Work Unet, Attention Unet, Transformer UNET, Deeplabv3, SAM etc Some of my projects Skin Cancer Segmentation using U-Net and TransVit Brain Skull Stripping and Segmentation Smart City Human Segmentation in crowded urban scenes Environmental Impact Assessment through Land Cover Segmentation Automated Tumor Detection in Medical Imaging: segmentation to satellite and aerial imagery to identify and segment buildings
Image segmentation
I have an accomplished background in image segmentation, where I've successfully led projects with a focus on precision and accuracy Model I can Work Unet, Attention Unet, Transformer UNET, Deeplabv3, SAM etc Some of my projects Skin Cancer Segmentation using U-Net and TransVit Brain Skull Stripping and Segmentation Smart City Human Segmentation in crowded urban scenes Environmental Impact Assessment through Land Cover Segmentation Automated Tumor Detection in Medical Imaging: segmentation to satellite and aerial imagery to identify and segment buildings
Image segmentation
I have an accomplished background in image segmentation, where I've successfully led projects with a focus on precision and accuracy Model I can Work Unet, Attention Unet, Transformer UNET, Deeplabv3, SAM etc Some of my projects Skin Cancer Segmentation using U-Net and TransVit Brain Skull Stripping and Segmentation Smart City Human Segmentation in crowded urban scenes Environmental Impact Assessment through Land Cover Segmentation Automated Tumor Detection in Medical Imaging: segmentation to satellite and aerial imagery to identify and segment buildings
Image segmentation
11568739
In MY groundbreaking NLP research, we secured the second position at a prestigious conference by leveraging advanced models including BERT, ALBERT, GPT, and RoBERTa. Focused on disaster-related data, our work excelled in Text Classification, Named Entity Recognition (NER), and Topic Modeling. Through ensemble methods, we achieved heightened accuracy and underscored the effectiveness of these models in real-world scenarios
NER and Topic Modeling
In MY groundbreaking NLP research, we secured the second position at a prestigious conference by leveraging advanced models including BERT, ALBERT, GPT, and RoBERTa. Focused on disaster-related data, our work excelled in Text Classification, Named Entity Recognition (NER), and Topic Modeling. Through ensemble methods, we achieved heightened accuracy and underscored the effectiveness of these models in real-world scenarios
NER and Topic Modeling
In MY groundbreaking NLP research, we secured the second position at a prestigious conference by leveraging advanced models including BERT, ALBERT, GPT, and RoBERTa. Focused on disaster-related data, our work excelled in Text Classification, Named Entity Recognition (NER), and Topic Modeling. Through ensemble methods, we achieved heightened accuracy and underscored the effectiveness of these models in real-world scenarios
NER and Topic Modeling
In MY groundbreaking NLP research, we secured the second position at a prestigious conference by leveraging advanced models including BERT, ALBERT, GPT, and RoBERTa. Focused on disaster-related data, our work excelled in Text Classification, Named Entity Recognition (NER), and Topic Modeling. Through ensemble methods, we achieved heightened accuracy and underscored the effectiveness of these models in real-world scenarios
NER and Topic Modeling
11568727
I collaborated with a client to implement a robust face recognition system for office attendance. Leveraging pretrained models and Siamese networks, our solution ensured high accuracy in identifying and verifying individuals. This innovative approach not only streamlined the attendance process but also enhanced security measures. Our work exemplifies the seamless integration of cutting-edge technologies to meet real-world business needs. If you need face recognition API i can build one for you
Face Recognition
11568718
In my extensive experience with image classification, I've tackled a variety of projects employing Convolutional Neural Networks (CNNs). From custom CNN architectures tailored to specific tasks to leveraging pretrained models like ResNet, DenseNet, and VGG, I've demonstrated a versatile skill set. I've successfully implemented CNNs for human emotion classification, gender prediction from facial images, and diverse medical image classification tasks. This includes chest X-ray analysis, skin cancer classification, breast cancer diagnosis from mammograms, and brain tumor identification in neuroimaging data. Beyond healthcare, I've contributed to smart city initiatives with projects involving traffic flow analysis, pedestrian detection, and environmental monitoring.
Convolutional Neural network
In my extensive experience with image classification, I've tackled a variety of projects employing Convolutional Neural Networks (CNNs). From custom CNN architectures tailored to specific tasks to leveraging pretrained models like ResNet, DenseNet, and VGG, I've demonstrated a versatile skill set. I've successfully implemented CNNs for human emotion classification, gender prediction from facial images, and diverse medical image classification tasks. This includes chest X-ray analysis, skin cancer classification, breast cancer diagnosis from mammograms, and brain tumor identification in neuroimaging data. Beyond healthcare, I've contributed to smart city initiatives with projects involving traffic flow analysis, pedestrian detection, and environmental monitoring.
Convolutional Neural network
In my extensive experience with image classification, I've tackled a variety of projects employing Convolutional Neural Networks (CNNs). From custom CNN architectures tailored to specific tasks to leveraging pretrained models like ResNet, DenseNet, and VGG, I've demonstrated a versatile skill set. I've successfully implemented CNNs for human emotion classification, gender prediction from facial images, and diverse medical image classification tasks. This includes chest X-ray analysis, skin cancer classification, breast cancer diagnosis from mammograms, and brain tumor identification in neuroimaging data. Beyond healthcare, I've contributed to smart city initiatives with projects involving traffic flow analysis, pedestrian detection, and environmental monitoring.
Convolutional Neural network
In my extensive experience with image classification, I've tackled a variety of projects employing Convolutional Neural Networks (CNNs). From custom CNN architectures tailored to specific tasks to leveraging pretrained models like ResNet, DenseNet, and VGG, I've demonstrated a versatile skill set. I've successfully implemented CNNs for human emotion classification, gender prediction from facial images, and diverse medical image classification tasks. This includes chest X-ray analysis, skin cancer classification, breast cancer diagnosis from mammograms, and brain tumor identification in neuroimaging data. Beyond healthcare, I've contributed to smart city initiatives with projects involving traffic flow analysis, pedestrian detection, and environmental monitoring.
Convolutional Neural network
In my extensive experience with image classification, I've tackled a variety of projects employing Convolutional Neural Networks (CNNs). From custom CNN architectures tailored to specific tasks to leveraging pretrained models like ResNet, DenseNet, and VGG, I've demonstrated a versatile skill set. I've successfully implemented CNNs for human emotion classification, gender prediction from facial images, and diverse medical image classification tasks. This includes chest X-ray analysis, skin cancer classification, breast cancer diagnosis from mammograms, and brain tumor identification in neuroimaging data. Beyond healthcare, I've contributed to smart city initiatives with projects involving traffic flow analysis, pedestrian detection, and environmental monitoring.
Convolutional Neural network
In my extensive experience with image classification, I've tackled a variety of projects employing Convolutional Neural Networks (CNNs). From custom CNN architectures tailored to specific tasks to leveraging pretrained models like ResNet, DenseNet, and VGG, I've demonstrated a versatile skill set. I've successfully implemented CNNs for human emotion classification, gender prediction from facial images, and diverse medical image classification tasks. This includes chest X-ray analysis, skin cancer classification, breast cancer diagnosis from mammograms, and brain tumor identification in neuroimaging data. Beyond healthcare, I've contributed to smart city initiatives with projects involving traffic flow analysis, pedestrian detection, and environmental monitoring.
Convolutional Neural network
In my extensive experience with image classification, I've tackled a variety of projects employing Convolutional Neural Networks (CNNs). From custom CNN architectures tailored to specific tasks to leveraging pretrained models like ResNet, DenseNet, and VGG, I've demonstrated a versatile skill set. I've successfully implemented CNNs for human emotion classification, gender prediction from facial images, and diverse medical image classification tasks. This includes chest X-ray analysis, skin cancer classification, breast cancer diagnosis from mammograms, and brain tumor identification in neuroimaging data. Beyond healthcare, I've contributed to smart city initiatives with projects involving traffic flow analysis, pedestrian detection, and environmental monitoring.
Convolutional Neural network
In my extensive experience with image classification, I've tackled a variety of projects employing Convolutional Neural Networks (CNNs). From custom CNN architectures tailored to specific tasks to leveraging pretrained models like ResNet, DenseNet, and VGG, I've demonstrated a versatile skill set. I've successfully implemented CNNs for human emotion classification, gender prediction from facial images, and diverse medical image classification tasks. This includes chest X-ray analysis, skin cancer classification, breast cancer diagnosis from mammograms, and brain tumor identification in neuroimaging data. Beyond healthcare, I've contributed to smart city initiatives with projects involving traffic flow analysis, pedestrian detection, and environmental monitoring.
Convolutional Neural network
In my extensive experience with image classification, I've tackled a variety of projects employing Convolutional Neural Networks (CNNs). From custom CNN architectures tailored to specific tasks to leveraging pretrained models like ResNet, DenseNet, and VGG, I've demonstrated a versatile skill set. I've successfully implemented CNNs for human emotion classification, gender prediction from facial images, and diverse medical image classification tasks. This includes chest X-ray analysis, skin cancer classification, breast cancer diagnosis from mammograms, and brain tumor identification in neuroimaging data. Beyond healthcare, I've contributed to smart city initiatives with projects involving traffic flow analysis, pedestrian detection, and environmental monitoring.
Convolutional Neural network
11568709
I've designed and implemented several Flask APIs deployed on AWS. Among them is a robust face recognition API for automated attendance tracking. Additionally, I've developed APIs for PILL detection, aiding in medication verification, and for fire and smoking detection, contributing to safety monitoring. These APIs are hosted on AWS, ensuring scalability and accessibility across diverse applications and industries.
Flask API & Deployment
I've designed and implemented several Flask APIs deployed on AWS. Among them is a robust face recognition API for automated attendance tracking. Additionally, I've developed APIs for PILL detection, aiding in medication verification, and for fire and smoking detection, contributing to safety monitoring. These APIs are hosted on AWS, ensuring scalability and accessibility across diverse applications and industries.
Flask API & Deployment
11568706
I've Worked on object detection using various versions of YOLO (You Only Look Once), including YOLOv5, YOLOv7, and YOLOv8, as well as YOLONAS. My projects have spanned a diverse range of applications, showcasing the versatility of these models. I've successfully applied object detection for tasks such as football player and car detection, garbage identification, disease detection (specifically in skin cancer images), and object localization in satellite imagery. This work highlights the adaptability and effectiveness of YOLO-based models across domains, from sports and environmental monitoring to healthcare and satellite image analysis.
Yolo Projects
I've Worked on object detection using various versions of YOLO (You Only Look Once), including YOLOv5, YOLOv7, and YOLOv8, as well as YOLONAS. My projects have spanned a diverse range of applications, showcasing the versatility of these models. I've successfully applied object detection for tasks such as football player and car detection, garbage identification, disease detection (specifically in skin cancer images), and object localization in satellite imagery. This work highlights the adaptability and effectiveness of YOLO-based models across domains, from sports and environmental monitoring to healthcare and satellite image analysis.
Yolo Projects
I've Worked on object detection using various versions of YOLO (You Only Look Once), including YOLOv5, YOLOv7, and YOLOv8, as well as YOLONAS. My projects have spanned a diverse range of applications, showcasing the versatility of these models. I've successfully applied object detection for tasks such as football player and car detection, garbage identification, disease detection (specifically in skin cancer images), and object localization in satellite imagery. This work highlights the adaptability and effectiveness of YOLO-based models across domains, from sports and environmental monitoring to healthcare and satellite image analysis.
Yolo Projects
I've Worked on object detection using various versions of YOLO (You Only Look Once), including YOLOv5, YOLOv7, and YOLOv8, as well as YOLONAS. My projects have spanned a diverse range of applications, showcasing the versatility of these models. I've successfully applied object detection for tasks such as football player and car detection, garbage identification, disease detection (specifically in skin cancer images), and object localization in satellite imagery. This work highlights the adaptability and effectiveness of YOLO-based models across domains, from sports and environmental monitoring to healthcare and satellite image analysis.
Yolo Projects
I've Worked on object detection using various versions of YOLO (You Only Look Once), including YOLOv5, YOLOv7, and YOLOv8, as well as YOLONAS. My projects have spanned a diverse range of applications, showcasing the versatility of these models. I've successfully applied object detection for tasks such as football player and car detection, garbage identification, disease detection (specifically in skin cancer images), and object localization in satellite imagery. This work highlights the adaptability and effectiveness of YOLO-based models across domains, from sports and environmental monitoring to healthcare and satellite image analysis.
Yolo Projects
I've Worked on object detection using various versions of YOLO (You Only Look Once), including YOLOv5, YOLOv7, and YOLOv8, as well as YOLONAS. My projects have spanned a diverse range of applications, showcasing the versatility of these models. I've successfully applied object detection for tasks such as football player and car detection, garbage identification, disease detection (specifically in skin cancer images), and object localization in satellite imagery. This work highlights the adaptability and effectiveness of YOLO-based models across domains, from sports and environmental monitoring to healthcare and satellite image analysis.
Yolo Projects
11568754
I have an accomplished background in image segmentation, where I've successfully led projects with a focus on precision and accuracy Model I can Work Unet, Attention Unet, Transformer UNET, Deeplabv3, SAM etc Some of my projects Skin Cancer Segmentation using U-Net and TransVit Brain Skull Stripping and Segmentation Smart City Human Segmentation in crowded urban scenes Environmental Impact Assessment through Land Cover Segmentation Automated Tumor Detection in Medical Imaging: segmentation to satellite and aerial imagery to identify and segment buildings
Image segmentation
I have an accomplished background in image segmentation, where I've successfully led projects with a focus on precision and accuracy Model I can Work Unet, Attention Unet, Transformer UNET, Deeplabv3, SAM etc Some of my projects Skin Cancer Segmentation using U-Net and TransVit Brain Skull Stripping and Segmentation Smart City Human Segmentation in crowded urban scenes Environmental Impact Assessment through Land Cover Segmentation Automated Tumor Detection in Medical Imaging: segmentation to satellite and aerial imagery to identify and segment buildings
Image segmentation
I have an accomplished background in image segmentation, where I've successfully led projects with a focus on precision and accuracy Model I can Work Unet, Attention Unet, Transformer UNET, Deeplabv3, SAM etc Some of my projects Skin Cancer Segmentation using U-Net and TransVit Brain Skull Stripping and Segmentation Smart City Human Segmentation in crowded urban scenes Environmental Impact Assessment through Land Cover Segmentation Automated Tumor Detection in Medical Imaging: segmentation to satellite and aerial imagery to identify and segment buildings
Image segmentation
I have an accomplished background in image segmentation, where I've successfully led projects with a focus on precision and accuracy Model I can Work Unet, Attention Unet, Transformer UNET, Deeplabv3, SAM etc Some of my projects Skin Cancer Segmentation using U-Net and TransVit Brain Skull Stripping and Segmentation Smart City Human Segmentation in crowded urban scenes Environmental Impact Assessment through Land Cover Segmentation Automated Tumor Detection in Medical Imaging: segmentation to satellite and aerial imagery to identify and segment buildings
Image segmentation
11568739
In MY groundbreaking NLP research, we secured the second position at a prestigious conference by leveraging advanced models including BERT, ALBERT, GPT, and RoBERTa. Focused on disaster-related data, our work excelled in Text Classification, Named Entity Recognition (NER), and Topic Modeling. Through ensemble methods, we achieved heightened accuracy and underscored the effectiveness of these models in real-world scenarios
NER and Topic Modeling
In MY groundbreaking NLP research, we secured the second position at a prestigious conference by leveraging advanced models including BERT, ALBERT, GPT, and RoBERTa. Focused on disaster-related data, our work excelled in Text Classification, Named Entity Recognition (NER), and Topic Modeling. Through ensemble methods, we achieved heightened accuracy and underscored the effectiveness of these models in real-world scenarios
NER and Topic Modeling
In MY groundbreaking NLP research, we secured the second position at a prestigious conference by leveraging advanced models including BERT, ALBERT, GPT, and RoBERTa. Focused on disaster-related data, our work excelled in Text Classification, Named Entity Recognition (NER), and Topic Modeling. Through ensemble methods, we achieved heightened accuracy and underscored the effectiveness of these models in real-world scenarios
NER and Topic Modeling
In MY groundbreaking NLP research, we secured the second position at a prestigious conference by leveraging advanced models including BERT, ALBERT, GPT, and RoBERTa. Focused on disaster-related data, our work excelled in Text Classification, Named Entity Recognition (NER), and Topic Modeling. Through ensemble methods, we achieved heightened accuracy and underscored the effectiveness of these models in real-world scenarios
NER and Topic Modeling
11568727
I collaborated with a client to implement a robust face recognition system for office attendance. Leveraging pretrained models and Siamese networks, our solution ensured high accuracy in identifying and verifying individuals. This innovative approach not only streamlined the attendance process but also enhanced security measures. Our work exemplifies the seamless integration of cutting-edge technologies to meet real-world business needs. If you need face recognition API i can build one for you
Face Recognition
11568718
In my extensive experience with image classification, I've tackled a variety of projects employing Convolutional Neural Networks (CNNs). From custom CNN architectures tailored to specific tasks to leveraging pretrained models like ResNet, DenseNet, and VGG, I've demonstrated a versatile skill set. I've successfully implemented CNNs for human emotion classification, gender prediction from facial images, and diverse medical image classification tasks. This includes chest X-ray analysis, skin cancer classification, breast cancer diagnosis from mammograms, and brain tumor identification in neuroimaging data. Beyond healthcare, I've contributed to smart city initiatives with projects involving traffic flow analysis, pedestrian detection, and environmental monitoring.
Convolutional Neural network
In my extensive experience with image classification, I've tackled a variety of projects employing Convolutional Neural Networks (CNNs). From custom CNN architectures tailored to specific tasks to leveraging pretrained models like ResNet, DenseNet, and VGG, I've demonstrated a versatile skill set. I've successfully implemented CNNs for human emotion classification, gender prediction from facial images, and diverse medical image classification tasks. This includes chest X-ray analysis, skin cancer classification, breast cancer diagnosis from mammograms, and brain tumor identification in neuroimaging data. Beyond healthcare, I've contributed to smart city initiatives with projects involving traffic flow analysis, pedestrian detection, and environmental monitoring.
Convolutional Neural network
In my extensive experience with image classification, I've tackled a variety of projects employing Convolutional Neural Networks (CNNs). From custom CNN architectures tailored to specific tasks to leveraging pretrained models like ResNet, DenseNet, and VGG, I've demonstrated a versatile skill set. I've successfully implemented CNNs for human emotion classification, gender prediction from facial images, and diverse medical image classification tasks. This includes chest X-ray analysis, skin cancer classification, breast cancer diagnosis from mammograms, and brain tumor identification in neuroimaging data. Beyond healthcare, I've contributed to smart city initiatives with projects involving traffic flow analysis, pedestrian detection, and environmental monitoring.
Convolutional Neural network
In my extensive experience with image classification, I've tackled a variety of projects employing Convolutional Neural Networks (CNNs). From custom CNN architectures tailored to specific tasks to leveraging pretrained models like ResNet, DenseNet, and VGG, I've demonstrated a versatile skill set. I've successfully implemented CNNs for human emotion classification, gender prediction from facial images, and diverse medical image classification tasks. This includes chest X-ray analysis, skin cancer classification, breast cancer diagnosis from mammograms, and brain tumor identification in neuroimaging data. Beyond healthcare, I've contributed to smart city initiatives with projects involving traffic flow analysis, pedestrian detection, and environmental monitoring.
Convolutional Neural network
In my extensive experience with image classification, I've tackled a variety of projects employing Convolutional Neural Networks (CNNs). From custom CNN architectures tailored to specific tasks to leveraging pretrained models like ResNet, DenseNet, and VGG, I've demonstrated a versatile skill set. I've successfully implemented CNNs for human emotion classification, gender prediction from facial images, and diverse medical image classification tasks. This includes chest X-ray analysis, skin cancer classification, breast cancer diagnosis from mammograms, and brain tumor identification in neuroimaging data. Beyond healthcare, I've contributed to smart city initiatives with projects involving traffic flow analysis, pedestrian detection, and environmental monitoring.
Convolutional Neural network
In my extensive experience with image classification, I've tackled a variety of projects employing Convolutional Neural Networks (CNNs). From custom CNN architectures tailored to specific tasks to leveraging pretrained models like ResNet, DenseNet, and VGG, I've demonstrated a versatile skill set. I've successfully implemented CNNs for human emotion classification, gender prediction from facial images, and diverse medical image classification tasks. This includes chest X-ray analysis, skin cancer classification, breast cancer diagnosis from mammograms, and brain tumor identification in neuroimaging data. Beyond healthcare, I've contributed to smart city initiatives with projects involving traffic flow analysis, pedestrian detection, and environmental monitoring.
Convolutional Neural network
In my extensive experience with image classification, I've tackled a variety of projects employing Convolutional Neural Networks (CNNs). From custom CNN architectures tailored to specific tasks to leveraging pretrained models like ResNet, DenseNet, and VGG, I've demonstrated a versatile skill set. I've successfully implemented CNNs for human emotion classification, gender prediction from facial images, and diverse medical image classification tasks. This includes chest X-ray analysis, skin cancer classification, breast cancer diagnosis from mammograms, and brain tumor identification in neuroimaging data. Beyond healthcare, I've contributed to smart city initiatives with projects involving traffic flow analysis, pedestrian detection, and environmental monitoring.
Convolutional Neural network
In my extensive experience with image classification, I've tackled a variety of projects employing Convolutional Neural Networks (CNNs). From custom CNN architectures tailored to specific tasks to leveraging pretrained models like ResNet, DenseNet, and VGG, I've demonstrated a versatile skill set. I've successfully implemented CNNs for human emotion classification, gender prediction from facial images, and diverse medical image classification tasks. This includes chest X-ray analysis, skin cancer classification, breast cancer diagnosis from mammograms, and brain tumor identification in neuroimaging data. Beyond healthcare, I've contributed to smart city initiatives with projects involving traffic flow analysis, pedestrian detection, and environmental monitoring.
Convolutional Neural network
In my extensive experience with image classification, I've tackled a variety of projects employing Convolutional Neural Networks (CNNs). From custom CNN architectures tailored to specific tasks to leveraging pretrained models like ResNet, DenseNet, and VGG, I've demonstrated a versatile skill set. I've successfully implemented CNNs for human emotion classification, gender prediction from facial images, and diverse medical image classification tasks. This includes chest X-ray analysis, skin cancer classification, breast cancer diagnosis from mammograms, and brain tumor identification in neuroimaging data. Beyond healthcare, I've contributed to smart city initiatives with projects involving traffic flow analysis, pedestrian detection, and environmental monitoring.
Convolutional Neural network
11568709
I've designed and implemented several Flask APIs deployed on AWS. Among them is a robust face recognition API for automated attendance tracking. Additionally, I've developed APIs for PILL detection, aiding in medication verification, and for fire and smoking detection, contributing to safety monitoring. These APIs are hosted on AWS, ensuring scalability and accessibility across diverse applications and industries.
Flask API & Deployment
I've designed and implemented several Flask APIs deployed on AWS. Among them is a robust face recognition API for automated attendance tracking. Additionally, I've developed APIs for PILL detection, aiding in medication verification, and for fire and smoking detection, contributing to safety monitoring. These APIs are hosted on AWS, ensuring scalability and accessibility across diverse applications and industries.
Flask API & Deployment
11568706
I've Worked on object detection using various versions of YOLO (You Only Look Once), including YOLOv5, YOLOv7, and YOLOv8, as well as YOLONAS. My projects have spanned a diverse range of applications, showcasing the versatility of these models. I've successfully applied object detection for tasks such as football player and car detection, garbage identification, disease detection (specifically in skin cancer images), and object localization in satellite imagery. This work highlights the adaptability and effectiveness of YOLO-based models across domains, from sports and environmental monitoring to healthcare and satellite image analysis.
Yolo Projects
I've Worked on object detection using various versions of YOLO (You Only Look Once), including YOLOv5, YOLOv7, and YOLOv8, as well as YOLONAS. My projects have spanned a diverse range of applications, showcasing the versatility of these models. I've successfully applied object detection for tasks such as football player and car detection, garbage identification, disease detection (specifically in skin cancer images), and object localization in satellite imagery. This work highlights the adaptability and effectiveness of YOLO-based models across domains, from sports and environmental monitoring to healthcare and satellite image analysis.
Yolo Projects
I've Worked on object detection using various versions of YOLO (You Only Look Once), including YOLOv5, YOLOv7, and YOLOv8, as well as YOLONAS. My projects have spanned a diverse range of applications, showcasing the versatility of these models. I've successfully applied object detection for tasks such as football player and car detection, garbage identification, disease detection (specifically in skin cancer images), and object localization in satellite imagery. This work highlights the adaptability and effectiveness of YOLO-based models across domains, from sports and environmental monitoring to healthcare and satellite image analysis.
Yolo Projects
I've Worked on object detection using various versions of YOLO (You Only Look Once), including YOLOv5, YOLOv7, and YOLOv8, as well as YOLONAS. My projects have spanned a diverse range of applications, showcasing the versatility of these models. I've successfully applied object detection for tasks such as football player and car detection, garbage identification, disease detection (specifically in skin cancer images), and object localization in satellite imagery. This work highlights the adaptability and effectiveness of YOLO-based models across domains, from sports and environmental monitoring to healthcare and satellite image analysis.
Yolo Projects
I've Worked on object detection using various versions of YOLO (You Only Look Once), including YOLOv5, YOLOv7, and YOLOv8, as well as YOLONAS. My projects have spanned a diverse range of applications, showcasing the versatility of these models. I've successfully applied object detection for tasks such as football player and car detection, garbage identification, disease detection (specifically in skin cancer images), and object localization in satellite imagery. This work highlights the adaptability and effectiveness of YOLO-based models across domains, from sports and environmental monitoring to healthcare and satellite image analysis.
Yolo Projects
I've Worked on object detection using various versions of YOLO (You Only Look Once), including YOLOv5, YOLOv7, and YOLOv8, as well as YOLONAS. My projects have spanned a diverse range of applications, showcasing the versatility of these models. I've successfully applied object detection for tasks such as football player and car detection, garbage identification, disease detection (specifically in skin cancer images), and object localization in satellite imagery. This work highlights the adaptability and effectiveness of YOLO-based models across domains, from sports and environmental monitoring to healthcare and satellite image analysis.
Yolo Projects

Recenzii

Modificările au fost salvate
Nu există recenzii!

Experiență

Data Science and Machine Learning Engineer

Glowlogix Islamabad
mai 2023 - Prezent
I have been working with glowlogix since may 2023. I have build Custom Chatbot, Real time face recognition, Personality trait data extraction from Website and Implement in their System. I am also working on deployment of Flask API in AWS Server.

Artificial Intelligence Engineer

National Center of Artificial Intelligence
mar. 2022 - Prezent
National Center of Artificial intelligence works under the government and we focus on research and product based project. Currently we are working on Medical imaging which includes TB classification and detection, Breast Cancer Classification and segmentation and Brain tumor classification and segmentation. Apart from this, we work on Smart cities project like lane detection, object tracking, distancing etc. In NLP, We work on language translation and text to speech and vice versa projects

Data Scientist

National Center of Cyber security
mar. 2020 - Prezent
Working as an AI research Scholar with one the prestigious place. We as a team have worked on multiple research and product based project.

Educație

Data Science

National University of Science and Technology, Pakistan 2021 – 2023
(2 ani)

Computer Systems Engineering

Pakistan 2017 – 2021
(4 ani)

Publicații

Multimedia Analysis of Disaster-Related Social Media Data

Mediaeval Competition
In the first part, we Classified the tweeter data as disaster or not from the data shared by the organization In the second part, we specified the location using named entity recognition We have used different modeling technique as the project has two parts. We explored the state-of-the-art model for this and achieved F1 score of 92

Arrhythmia Detection Using Deep Learning Techniques

IEEE Transactions on Biomedical circuits and systems.
Classified ECG signal using a Conventional Neural Network (CNN) & LSTM.

Anomaly Detection from Video Streams Using Deep Learning techniques

IEEE
It was my final year project and we worked on 4 anomalous category from video data and classified the videos. we achieved 82% of accuracy

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