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$25 USD/oră
Steagul EGYPT
mansoura, egypt
$25 USD/oră
Momentan, aici e ora 9:53 p.m.
S-a înregistrat pe noiembrie 26, 2016
2 Recomandări

Ahmed E.

@ahmedelhelow

monthly-level-two.svg
verified-v2.svg
preferred-freelancer-v2.svg 5,0 (22 recenzii)
5,8
5,8
91%
91%
$25 USD/oră
Steagul EGYPT
mansoura, egypt
$25 USD/oră
100 %
Proiecte finalizate
100 %
Conform bugetului
100 %
La timp
50 %
Rata de angajare repetată

Master's Degree in AI/ML | Senior ML Engineer

Welcome to my profile page Let me introduce myself, I am a senior ML engineer. I have a Master's degree in Engineering from Italy. I have been working full time as a Senior ML Engineer in an Egyptian company for 3 years. I also worked in the Mansoura University as a Teaching Assistant in the field of the Artificial Intelligence for 7 years. I have a great experience in Python, ML and AI. I have done many projects in Machine Learning and Deep Learning including both Computer Vision and NLP. I am very familiar with both Tensorflow and Pytorch frameworks. I have taught AI, ML and Robotics to more than 1000 students each. I have mentor many projects in these fields. I have instructed over 2000 students in AI, ML, and Robotics, and mentored more than 20 projects in these fields to completion. I am a punctual person who delivers the required work on time.
Freelancer Robotics Engineers Egypt
Vezi toate opțiunile pentru Robotics Engineers din Egypt

Discută cu Ahmed E. despre proiect

Conectează-te pentru a discuta pe chat despre detalii.

Portfoliu

11508775
Requirements: - I need a photo search engine designed and deployed. I have a growing library of photos (approximately 4 million) that I need to be able to search via submission of a photo to the API. The search would return, via the API, the closest matched photo and meta data associated with the photo and up to 6 closest photos. - The system also needs a method to insert new photos to the library, preferably in bulk, manage the metadata, and update existing photos in the library. - The search feature needs to be extremely fast and accurate
Image Search Engine using Variational Autoencoder
11508731
Requirements: 1- Obtain images from rtsp live feed. 2- Detection and Tracking model for 6 different brands, each has 3 different weights. So in total 18 different classes. 3- Process 7 rtsp live feeds from 7 cameras simultaneously on the same machine and same GPU. 4- Create an algorithm to detect when package is closing in order to count them or not. 5- Create a database to store counts for each product. 6- Create a table for shift change.
Factory Products Recognition and Counting
9544574
Rules of the game: 1- A player takes turn to move one of his pieces either horizontally or vertically. Each move can cross over any number of unoccupied squares to an unoccupied square. 2- Any player whose move completes a squeeze pattern will result in the elimination of his opponent's pieces in the pattern. 3- A player wins a game when his opponent cannot make a move. In most cases, this is because all of the opponent's pieces have been blocked or eliminated. Minimax algorithm is a recursive algorithm for choosing the next move in an n-player game, usually a two-player game.
AI agent using Minimax for board game
Rules of the game: 1- A player takes turn to move one of his pieces either horizontally or vertically. Each move can cross over any number of unoccupied squares to an unoccupied square. 2- Any player whose move completes a squeeze pattern will result in the elimination of his opponent's pieces in the pattern. 3- A player wins a game when his opponent cannot make a move. In most cases, this is because all of the opponent's pieces have been blocked or eliminated. Minimax algorithm is a recursive algorithm for choosing the next move in an n-player game, usually a two-player game.
AI agent using Minimax for board game
9544548
The goal of the model is to do image instance segmentation by training deeplabv3+ model in order to detect new label called trueFairway. Image semantic segmentation is the task of clustering parts of an image together that belong to the same object class. This process is also called pixel-level classification. However, image instance segmentation is the task of detecting and delineating each distinct object of interest appearing in an image.
Image Segmentation for Golf Clubs
The goal of the model is to do image instance segmentation by training deeplabv3+ model in order to detect new label called trueFairway. Image semantic segmentation is the task of clustering parts of an image together that belong to the same object class. This process is also called pixel-level classification. However, image instance segmentation is the task of detecting and delineating each distinct object of interest appearing in an image.
Image Segmentation for Golf Clubs
8783489
Using different preprocessing, segmentation and post-processing methods to segment the lesions area of the LIDC-IDRI dataset.
LIDC-IDRI Dataset Lesions Segmentation
Using different preprocessing, segmentation and post-processing methods to segment the lesions area of the LIDC-IDRI dataset.
LIDC-IDRI Dataset Lesions Segmentation
8783466
Add Q-learning Algorithm to Pacman Game. Q-learning Algorithm is a model-free Reinforcement Learning Algorithm to learn a policy telling an agent what action to take under what circumstances.
Reinforcement Learning for Pacman Game
Add Q-learning Algorithm to Pacman Game. Q-learning Algorithm is a model-free Reinforcement Learning Algorithm to learn a policy telling an agent what action to take under what circumstances.
Reinforcement Learning for Pacman Game
11508775
Requirements: - I need a photo search engine designed and deployed. I have a growing library of photos (approximately 4 million) that I need to be able to search via submission of a photo to the API. The search would return, via the API, the closest matched photo and meta data associated with the photo and up to 6 closest photos. - The system also needs a method to insert new photos to the library, preferably in bulk, manage the metadata, and update existing photos in the library. - The search feature needs to be extremely fast and accurate
Image Search Engine using Variational Autoencoder
11508731
Requirements: 1- Obtain images from rtsp live feed. 2- Detection and Tracking model for 6 different brands, each has 3 different weights. So in total 18 different classes. 3- Process 7 rtsp live feeds from 7 cameras simultaneously on the same machine and same GPU. 4- Create an algorithm to detect when package is closing in order to count them or not. 5- Create a database to store counts for each product. 6- Create a table for shift change.
Factory Products Recognition and Counting
9544574
Rules of the game: 1- A player takes turn to move one of his pieces either horizontally or vertically. Each move can cross over any number of unoccupied squares to an unoccupied square. 2- Any player whose move completes a squeeze pattern will result in the elimination of his opponent's pieces in the pattern. 3- A player wins a game when his opponent cannot make a move. In most cases, this is because all of the opponent's pieces have been blocked or eliminated. Minimax algorithm is a recursive algorithm for choosing the next move in an n-player game, usually a two-player game.
AI agent using Minimax for board game
Rules of the game: 1- A player takes turn to move one of his pieces either horizontally or vertically. Each move can cross over any number of unoccupied squares to an unoccupied square. 2- Any player whose move completes a squeeze pattern will result in the elimination of his opponent's pieces in the pattern. 3- A player wins a game when his opponent cannot make a move. In most cases, this is because all of the opponent's pieces have been blocked or eliminated. Minimax algorithm is a recursive algorithm for choosing the next move in an n-player game, usually a two-player game.
AI agent using Minimax for board game
9544548
The goal of the model is to do image instance segmentation by training deeplabv3+ model in order to detect new label called trueFairway. Image semantic segmentation is the task of clustering parts of an image together that belong to the same object class. This process is also called pixel-level classification. However, image instance segmentation is the task of detecting and delineating each distinct object of interest appearing in an image.
Image Segmentation for Golf Clubs
The goal of the model is to do image instance segmentation by training deeplabv3+ model in order to detect new label called trueFairway. Image semantic segmentation is the task of clustering parts of an image together that belong to the same object class. This process is also called pixel-level classification. However, image instance segmentation is the task of detecting and delineating each distinct object of interest appearing in an image.
Image Segmentation for Golf Clubs
8783489
Using different preprocessing, segmentation and post-processing methods to segment the lesions area of the LIDC-IDRI dataset.
LIDC-IDRI Dataset Lesions Segmentation
Using different preprocessing, segmentation and post-processing methods to segment the lesions area of the LIDC-IDRI dataset.
LIDC-IDRI Dataset Lesions Segmentation
8783466
Add Q-learning Algorithm to Pacman Game. Q-learning Algorithm is a model-free Reinforcement Learning Algorithm to learn a policy telling an agent what action to take under what circumstances.
Reinforcement Learning for Pacman Game
Add Q-learning Algorithm to Pacman Game. Q-learning Algorithm is a model-free Reinforcement Learning Algorithm to learn a policy telling an agent what action to take under what circumstances.
Reinforcement Learning for Pacman Game

Recenzii

Modificările au fost salvate
Se afișează 1 – 5 din 22 recenzii
Filtrează recenziile în funcție de:
5,0
$2.810,00 USD
Photo Search Engine W/ API
Amazing end product! Went above and beyond. Well definitely use again!
Software Architecture
Database Development
RESTful API
Computer Vision
Avatarul utilizatorului
Steagul Daniel M.
@travin69
•
1 an în urmă
4,6
$225,00 USD
People familiar with robot, euler angle, object rotation in 3d and python
wowowowoowowowowowowowo
Robotics
P
Steagul Jian J.
@pingzhu
•
3 ani în urmă
5,0
$250,00 USD
Project for Ahmed E. -- 5
Excellent to work with, professional and honest
Python
Machine Learning (ML)
Robotics
MATLAB
+ încă 1
I
Steagul Mohamed A.
@ismmomo11
•
3 ani în urmă
5,0
$400,00 USD
Project for Ahmed E. -- 4
Excellent knowledge and delivered work on time. Excellent quality of work. Very professional. I have worked with Ahmed several times before for different projects with excellent results, would definitely hire again!
Python
Machine Learning (ML)
Robotics
MATLAB
+ încă 1
I
Steagul Mohamed A.
@ismmomo11
•
3 ani în urmă
5,0
$1.190,00 USD
Project for Ahmed E. -- 20/12/07 13:08:53
Excellent work and on time.
C Programming
C# Programming
Arabic Translator
Artificial Intelligence
+ încă 1
A
Steagul Akhil K.
@akhil9849
•
3 ani în urmă

Experiență

Teaching Assistant

Mansoura University, Faculty of Engineering
sept. 2014 - aug. 2017 (2 ani, 11 luni)
Responsibilities • Supervise and evaluate technical projects • Facilitate a discussion section or tutorial • Create and evaluate assignments and quizzes Mentorship Projects • Drug Vending Machine • Remote Controlled Drone • Robotic Hand Controlled by a Glove • Autonomous Minesweeper competition Teaching Courses • Artificial Intelligence • Modern Control Theory • Machine Learning • Microcontroller • Programming

Educație

Master of Science in Control Engineering

Università degli Studi di Roma 'La Sapienza', Italy 2017 – 2019
(2 ani)

Bachelor of Computers and Systems Engineering

Mansoura University, Egypt 2008 – 2013
(5 ani)

Publicații

Deep neural network prediction of modified stepped double-slope solar still with ...

Springer Nature
This research work intends to enhance the stepped double-slope solar still performance. The methods developed and compared are SVR, decision tree regressor, neural network, and deep neural network based on experimental data. This problem is a multi-output prediction problem which is HP and ITE. The prediction performance for the SVR was the lowest with 70 MAE for HP and 4.5% for ITE. The best model used the deep neural network with 1.94 MAE for HP and 0.67% MAE for ITE.

Discută cu Ahmed E. despre proiect

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Certificări

preferredfreelancer-1.png Preferred Freelancer Program SLA 1 97%

Cele mai bune aptitudini

Robotics 14
MATLAB 13
Simulation 13
Python 10
Android 8

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