Summary
Overview
Work History
Education
Skills
Accomplishments
Certification
Publications
Software
Timeline
Generic

Mohamed Abdelkarim

Machine Learning Engineer/Researcher
Shiekh Zayed - 6 October - Cairo

Summary

Passionate Machine learning Engineer with 3.5+ years of Experience in Deep learning & Computer Vision. Graduated from Cairo University Faculty of Engineering with grade of (Excellent with honors, 15th in patch) . At Siemens, Developed novel multiple deep learning models in QA enhancing testing & decreasing testing time by 90% . Seeking to become a skilled Machine learning Engineer & Researcher.

Overview

6
6
years of professional experience
4
4
years of post-secondary education
9
9
Certifications
4
4
Languages

Work History

Machine Learning Engineer/Researcher

Siemens Digital Industries Software
10.2020 - Current
  • Implemented and developed a fully automated tool based on deep learning and NLP to prioritize the regression test suite, reducing regression testing time by 90% and resulting in the publication of two papers.
  • Developed novel Image-to-Image translation models to relate post and pre-manufacturing of digital IC layout.
  • Developed Novel ML-generator based tool to generate conditional post-manufacturing High quality SEM images.
  • Used LLM-powered agents in multiple projects, designed to autonomously perform various code testing and review tasks..

AI Intern

Goodix Egypt
10.2020 - 12.2023

Summer Intern

Vodafone
08.2018 - 10.2018
  • Implemented Automated incident response (IR) project for Vodafone firewall using python scripting.
  • Developed multiple automation projects for incident Monitoring team saving time by 20% .

Education

MSc - Machine Learning

Cairo University, Faculty of Engineering
10.2020 - Current

BSc - Electrical, Electronics And Communications Engineering

Cairo University, Faculty of Engineering
09.2015 - 2020.08

Secondary Education Certificate -

Mubarak Experimental Language School
09.2013 - 2014.05

Skills

Creativity & Critical Thinking

Self-motivation

Self Learning

Teamwork

Ability to Work Under Pressure

Googling/ChatGPT

Computer Vision

Speech Processing / NLP

TensorFlow/keras

Pytorch

Open CV

Scikit-learn/ Matplotlib/ Seaborn

Linux/ bash

Google Colab

GUI design

Pic/AVR Microcontrollers/Raspberry Pi

Accomplishments

Machine Learning projects

• Semantic segmentation, optical flow, saliency maps.
• Image classification using training/transfer learning.
• Speech processing and classification.
• Classical Image processing.
• Multi-object tracking.
• Image-to-image translation using GANs & Auto-encoders.
• Graph Neural networks.
• Hyper parameters Optimization, AutoML.

• Action detection.

• Generative ML projects using GANs, LLMs, Diffusion models.



GP titled "Using Eye-gaze tracking and imitation
learning to improve autonomous driving"
• The project is based on deep learning and computer vision technically supported by Valeo Egypt, ONE Lab in Cairo university & ihub, financially sponsored by ASRT & Itida.

• Won the 1st place in "Novel Intelligent and Leading Emerging Sciences Conference NILES2020" graduation project competition.
• The project is one of the top 20 artificial intelligence graduation projects in DELL EMC's "Envision the future" regional competition in MENA.


Real time car Breakdowns Checker using OBD-ll protocol & IOT Technology ( "IOTOPIA STARTUP" for 3-days Maker Hackathon )


Complete Microprocessor using FPGA and VHDL

Certification

Pre-master's: Data Science and Big Data

Publications

  • TCP-Net++: Test Case Prioritization Using End-to-End Deep Neural Networks - Deployment Analysis and Enhancements paper at The 5th IEEE International Conference on Artificial Intelligence Testing (AITest 2023)
  • TCP-Net: Test Case Prioritization using End-to-End Deep Neural Networks paper at the 2nd International Workshop on Artificial Intelligence in Software Testing (AIST22)
  • GG-Net: Gaze Guided Network for Self-driving Cars paper at Electronic Imaging Autonomous Vehicles and Machines (AVM21)


Software

Python(scripting/machine learning)

C/C

Assembly

Matlab

MySQL/Hadoop

Latex

Google sketch up (3D modeling)

Timeline

Pre-master's: Data Science and Big Data

03-2022

Pre-master's: Advanced Deep Learning

03-2021

Stanford CS224W: Machine Learning with Graphs

02-2021

AI Intern

Goodix Egypt
10.2020 - 12.2023

MSc - Machine Learning

Cairo University, Faculty of Engineering
10.2020 - Current

Machine Learning Engineer/Researcher

Siemens Digital Industries Software
10.2020 - Current

Coursera : Natural Language Processing with Classification and Vector Spaces (NLP Specialization)

06-2020

Coursera : Deep Learning specialization(Andrew NG)

09-2019

Coursera : ML specialization(Andrew NG)

08-2019

Summer Intern

Vodafone
08.2018 - 10.2018

High Tech. Center (Cairo university): Matlab

07-2018

IMT school : Embedded Systems Diploma

07-2017

IEEE CU: IOT using Raspberry pi

09-2016

BSc - Electrical, Electronics And Communications Engineering

Cairo University, Faculty of Engineering
09.2015 - 2020.08

Secondary Education Certificate -

Mubarak Experimental Language School
09.2013 - 2014.05
Mohamed AbdelkarimMachine Learning Engineer/Researcher