Viktor B.

Experienced NLP expert # Natual language processing - 7+ years experience in information processing such as syntax analysis, machine translation, automatic speech recognition & synthesis, optical charactor recognition and 5+ years ML/DNN experience in such as ASR, OCR, NLU, NER, Q&A, chatbot, recommendation systems. - Familiar with various NLP libraries such as Glov, Word2Vec, spaCy, gensim, Seq2seq, statsmodels, NLTK, Dialogflow, RASA, IBM Watson, BERT, GPT. Ex: Generate plausible content for large variety of subjects. Can serve as base for marketing blogs. Used customer's datasets and GPT-2(355M and 774M models) and fintuned model, and deploy as restAPI on cloud. # Image processing - Expert level knowledge in OpenCV, Dlib, Cximage - Custom object detection, recognition, tracking, segmentation Ex: Real-time people & vehicle counter with 95% accuracy using EfficientDet & DeepSort deployed on AWS which is used at 300 locations… - Facial detection, recognition Ex: facial recognition and attendance system for small company: deployed on AWS and used for automatic door management. - Age/Gendor/Emotion detection, classification - ALPR using openAlpr and my own offline dnn engine Ex: Russian, chinese, hindi, USA LPR for public parks. - Image Classification, and Segmentation using CNN, R-CNN, mask R-CNN with AlexNet, VGG, inception, imagenet and resnet # Speech processing - speech/speaker recognition for various language & audio types. Ex: speach recognition system by using kaldi, deepspeech, wav2letter with under5% WER for american phoenic system. - text synthesis and voice cloning with dnn. Ex: speech synthesis system by using HTS, Tacotron, Voice cloning for hindi call-center. # Data Scientist - Solid understanding and expertise in analyzing, preprocessing, clustering, regression, visualization and maintaining large datasets. - Web Scrapping and Data Extraction, involving all sorts of data such as structured and unstructured data from many categories of websites such as social media sites like Facebook, Instagram, e-commerce websites like amazon, homedepot, real estate websites, etc. # Master level dnn experience with various frameworks such as tensorflow/keras, pytorch, caffe, arrayfire, flashlight, yolo, mxnet. # Master degree on mathmatics. - Well versed in Applied Mathematical concepts of probability, computational statistics, computational linear algebra, convex optimization, calculus, computational complexity and in their application to algorithmic trading, backtesting, time series analysis. # Plenty of experience in deploying engines in various forms such as restful API, rpc, standarlone app, apk, docker on linux, windows, mac, cloud(AWS, GCP, Azure). # Master level knowldege on several languages such as c/c++, python, java, Qt, PyQt, php, js. # Good at data structure and algorithm, since having programming contestant career. # Flexible working time on various time-zone and 40Hr/week availibility.