Became a Product Manager in Shebak, Working on a plan for our ERP system, analyzing the new features to be developed in the best way & technologies to use.
Working at Shebak as a Software engineer & Odoo Developer, Developing and implementing new modules, Using (Python ODOOO, Psql, HTML, CSS, JS).
Working as a Freelancer Developing Machine Learning Models.
Working at Bright Creations as a Machine Learning engineer, On Computer Vision (Facial Recognition projects) .
BSc in Computer Engineering, Helwan Uni. 2013 — 2018
Face recognition attendance system on Android, So you can replace the fingerprint Devices,
Built with the Facial Recognition Library and SDK .
Build Facial recognition Classifier Using Pre-trained Model based on Deep Face & FaceNet Papers,
Exported the classifier so it can run on Android, And Implemented Rest APIs so you can use it as a Library on its own.
- Technologies & Tools : *ML ( Tensorflow, Scikit Learn, Keras, OpenCV) *Backend (Django, REST framework, Oauth, MYSQL)
Implemented machine learning algorithms that I learned from ML specialization from Washington University the algorithms are (linear regression - ridge regression - lasso regression - logistic regression - decision tree algorithm - decision tree with Ada Boosting - K nearest neighbor - locality hashing nearest neighbor-K means algorithm - Expectation–maximization (em) algorithm ).
Mwaslaty is Android application that helps the user to find the shortest path and minimum time and cost to reach his way, it will minimize the effort that the user makes to find his way when he tries to reach a new destination.
All self-learning Courses from Udemy& Coursera specialization how to implement from scratch regression, classification, clustering algorithms.
Been working on Developing and Implementing Erp modules with ODOO framework, Postgress database .
Using Django as a Backend and Rest APIs & apply micro services.
Took many courses on it (Python for everyone Specialization), used it for implementing machine learning algorithms and Backend.
Experience on how to work and programming with Linux Fedora and Ubuntu environment.
Using Version-control systems (Git Lab / Git Hub ) .
Made a lot of formal Documents for Software projects (ReadMe files), API Documenting and presentations .
Online Python Specialization by the University of Michigan on Coursera
Course by The University of Alberta on Coursera.
Java Standard Edition Diploma certified course at AMIT ( 2015 ).
Became a Product Manager in Shebak, Working on a plan for our ERP system, analyzing the new features to be developed in the best way & technologies to use.
Working at Shebak as a Software engineer & Odoo Developer, Developing and implementing new modules, Using (Python ODOOO, Psql, HTML, CSS, JS).
Working as a Freelancer Developing Machine Learning Models.
Working at Bright Creations as a Machine Learning engineer, On Computer Vision (Facial Recognition projects) .
BSc in Computer Engineering, Helwan Uni. 2013 — 2018
Face recognition attendance system on Android, So you can replace the fingerprint Devices,
Built with the Facial Recognition Library and SDK .
Build Facial recognition Classifier Using Pre-trained Model based on Deep Face & FaceNet Papers,
Exported the classifier so it can run on Android, And Implemented Rest APIs so you can use it as a Library on its own.
- Technologies & Tools : *ML ( Tensorflow, Scikit Learn, Keras, OpenCV) *Backend (Django, REST framework, Oauth, MYSQL)
Implemented machine learning algorithms that I learned from ML specialization from Washington University the algorithms are (linear regression - ridge regression - lasso regression - logistic regression - decision tree algorithm - decision tree with Ada Boosting - K nearest neighbor - locality hashing nearest neighbor-K means algorithm - Expectation–maximization (em) algorithm ).
Mwaslaty is Android application that helps the user to find the shortest path and minimum time and cost to reach his way, it will minimize the effort that the user makes to find his way when he tries to reach a new destination.
All self-learning Courses from Udemy& Coursera specialization how to implement from scratch regression, classification, clustering algorithms.
Been working on Developing and Implementing Erp modules with ODOO framework, Postgress database .
Using Django as a Backend and Rest APIs & apply micro services.
Took many courses on it (Python for everyone Specialization), used it for implementing machine learning algorithms and Backend.
Experience on how to work and programming with Linux Fedora and Ubuntu environment.
Using Version-control systems (Git Lab / Git Hub ) .
Made a lot of formal Documents for Software projects (ReadMe files), API Documenting and presentations .
Online Python Specialization by the University of Michigan on Coursera
Course by The University of Alberta on Coursera.
Java Standard Edition Diploma certified course at AMIT ( 2015 ).