Ahmed Mansy
Member Of Technical Staff at Microsoft AI
Munich, Bavaria, Germany
Summary
🤩
Rockstar🎓
Top SchoolAhmed Mansy is a Member of Technical Staff at Microsoft AI with a decade of experience building scalable ML and infrastructure systems across startups and enterprise teams. He has led AI data and infra at Luma AI and contributed as a senior engineer at Lightning AI and DataRobot, bringing deep expertise in productionizing models, CI/CD for ML apps, and full-stack integrations. An active open-source contributor, he has made notable contributions to the widely used pytorch-lightning project, improving Lightning Apps, testing pipelines, and developer-facing UI components. Based in Munich and trained as a computer engineer from Cairo University, he combines hands-on coding with system design and a track record of moving research-grade models into reliable, testable deployments.
10 years of coding experience
11 years of employment as a software developer
Bachelor of Engineering (BE), Computer Engineering, Bachelor of Engineering (BE), Computer Engineering at Cairo University
Arabic, English, German, Russian
Stackoverflow
3reputation
101reached
2answers
2questions
Github Skills (23)
pytorch10
python10
machine-learning10
data-science9
github-ci9
cicd9
githubaction-workflow9
pytest8
testing8
dockers7
ai7
deeplearning-ai7
deep-learning7
docker7
time-complexity6
Programming languages (10)
Github contributions (5)
Lightning-AI/pytorch-lightning
Jun 2022 - Nov 2022
Pretrain, finetune ANY AI model of ANY size on 1 or 10,000+ GPUs with zero code changes.
Role in this project:
Full-stack Developer
Full-stack DeveloperContributions:322 reviews, 82 commits, 46 PRs in 4 months
Contributions summary:Ahmed contributed significantly to the development and testing of the `lightning-ai/pytorch-lightning` repository, focusing on enhancing the Lightning Apps framework and related CI/CD pipelines. Their work includes adding and refactoring Lightning App examples, creating CI/CD configurations for app testing, and integrating UI components to allow for easier use of the app. They also worked on fixing bugs and updating documentation for improved user experience.
aipretrainpythondeep-learningartificial-intelligence
manskx/async-service-watermarking
Apr 2017 - Sep 2018
Contributions:9 commits, 9 pushes, 1 branch in 1 year 4 months
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