Mohamed Ameen
Software Engineering Manager at Unity
Heilbronn, Baden-Württemberg, Germany
Summary
👤
Senior🎓
Top SchoolMohamed Ameen is a software engineering manager with eight years of hands-on and leadership experience building safety-critical and embedded platforms for global OEMs and enterprise customers. He has scaled and mentored remote, cross-functional teams—growing a group to 16 engineers across time zones—while delivering production-grade systems for Bosch and now driving platform strategy at Unity. Equally comfortable in software architecture, program risk management and AI-driven product strategy, he turns customer insight into reliable features that ship on time and at scale. His background spans ADAS and automotive ECU development, DevOps automation, and a research pedigree in high-density power electronics from a Google/IEEE competition entry. Mohamed holds MS degrees in Computer Science (Georgia Tech) and Quantitative Finance (SOAS), a combination that informs his data-driven approach to prioritization and resource optimization. Colleagues rely on him for clear technical vision, rigorous execution, and career-building mentorship.
8 years of coding experience
10 years of employment as a software developer
Master of Science - MS Quantitative Finance, Master of Science - MS Quantitative Finance at SOAS University of LondonMaster of Science - MS Computer Science, Master of Science - MS Computer Science at Georgia Institute of TechnologyBachelor of Science Electrical Engineering, Bachelor of Science Electrical Engineering at Higher Technological Institute
Arabic, English, German
Github Skills (12)
eve10
publish10
classify9
traffic9
machine-learning9
keras-tensorflow9
testing8
validation8
python7
tensorflow6
reinforcement-learning2
deep-reinforcement-learning2
Programming languages (3)
Github contributions (5)
mohamedameen93/German-Traffic-Sign-Classification-Using-TensorFlow
Nov 2017 - Dec 2019
In this project, I used Python and TensorFlow to classify traffic signs. Dataset used: German Traffic Sign Dataset. This dataset has more than 50,000 images of 43 classes. I was able to reach a +99% validation accuracy, and a 97.3% testing accuracy.
Contributions:17 commits, 3 PRs, 16 pushes in 2 years
pythonsignkeras-tensorflowtensorflowtraffic
mohamedameen93/Vehicle-Detection-and-Tracking
Jan 2018 - Sep 2018
Contributions:8 commits, 7 pushes, 1 branch in 8 months
Find and Hire Top DevelopersWe’ve analyzed the programming source code of over 60 million software developers on GitHub and scored them by 50,000 skills. Sign-up on Prog,AI to search for software developers.