Ahmed E. Profile

LÖYDÄ

Android

MATLAB

Python

Robotics

Simulation

5,0

(22 arvostelua)

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$25 USD / tunti

mansoura,

egypt

$25 USD / tunti

Aika on tällä hetkellä 4:30 ap. täällä

Liittynyt marraskuuta 26, 2016

2 Suosittelee

Ahmed E.

@ahmedelhelow

5,0

(22 arvostelua)

5,8

91%

$25 USD / tunti

mansoura,

egypt

$25 USD / tunti

100 %

Suoritetut työt

100 %

Budjetin mukaisesti

100 %

Aikataulussa

50 %

Uudelleenpalkkausaste

Machine Learning Engineer

I have a master's degree in Engineering from Italy. I worked as a teaching assistant for 4 years. I am currently working as a senior machine learning engineer in a start-up company. I have a great experience in Python. I have done many projects in machine learning and deep learning especially in computer vision and image processing. I worked on tensorflow, keras and pytorch frameworks. However, I am still new to NLP, but I am getting better everyday. I have taught Artificial Intelligence, Machine Learning and Robotics to 300 students each. I have mentor many projects in these fields. I am a punctual person who delivers the required work on time.

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Portfolio

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

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

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

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

Using different preprocessing, segmentation and post-processing methods to segment the lesions area of the LIDC-IDRI dataset.

LIDC-IDRI Dataset Lesions Segmentation

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

Arvostelut

Muutokset tallennettu

Näytetään 1 - 5 / 22 arvostelua

Suodata arvosteluja:

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

vuosi sitten

4,6

$225,00 USD

People familiar with robot, euler angle, object rotation in 3d and python

wowowowoowowowowowowowo

Robotics

3 vuotta sitten

5,0

$250,00 USD

Project for Ahmed E. -- 5

Excellent to work with, professional and honest

Python

Machine Learning (ML)

Robotics

MATLAB

+1 enemmän

3 vuotta sitten

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

+1 enemmän

3 vuotta sitten

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

+1 enemmän

3 vuotta sitten

Kokemus

Mansoura University, Faculty of Engineering

syysk. 2014 - elok. 2017 (2 vuotta, 11 kuukautta)

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

Koulutus

Master of Science in Control Engineering

Università degli Studi di Roma 'La Sapienza',

Italy

2017 - 2019

(2 vuotta)

Bachelor of Computers and Systems Engineering

Mansoura University,

Egypt

2007 - 2013

(6 vuotta)

Julkaisut

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.