Hussam Lawen
Senior Machine Learning Engineer at Qodo (formerly CodiumAI)
Israel
Summary
🤩
Rockstar🎓
Top SchoolHussam Lawen is a Senior Machine Learning Engineer based in Israel with 11 years of experience blending Android engineering and applied ML to deliver consumer and enterprise products. He started as an Android developer building feature-rich apps like Toluna and retail auditing tools, then progressed into algorithm and deep learning roles at Alibaba before focusing on generative AI at Qodo. Hussam contributes to open-source AI tooling—most recently improving backend diff handling and performance for the PR-Agent project—showing a knack for making developer-facing ML utilities more reliable. His background uniquely combines polished mobile UX work (custom animations and card UIs) with production ML systems, enabling him to ship end-to-end solutions that bridge research and product.
11 years of coding experience
10 years of employment as a software developer
Bachelor of Applied Science (B.A.Sc.) Computer Science, Bachelor of Applied Science (B.A.Sc.) Computer Science at University of HaifaBachelor of Science; Mathmatics Physics and; Computer Science as, Bachelor of Science; Mathmatics Physics and; Computer Science as at Orthodox College Haifa
Stackoverflow
9reputation
3kreached
1answer
4questions
Github Skills (15)
git10
pullrequest10
merge-request10
python10
git-pull10
code-review10
maps6
apache-commons6
street-address6
image-capture6
android-camera6
android-camera-intent6
android6
ftp6
gsm6
Programming languages (7)
Github contributions (5)
qodo-ai/pr-agent
Jul 2023 - Mar 2025
🚀 PR-Agent (Qodo Merge open-source): An AI-Powered 🤖 Tool for Automated Pull Request Analysis, Feedback, Suggestions and More! 💻🔍
Role in this project:
Backend Developer
Backend DeveloperContributions:284 reviews, 114 PRs, 164 pushes in 1 year 9 months
Contributions summary:Hussam primarily contributed to the backend logic of the project. They implemented a feature to combine modified files into a single list, improved the handling of file modifications and deletions, and added functionality to manage and process pull request diffs. Their work focused on optimizing the presentation of the diff and improving the overall performance of the PR agent.
coding-assistantdevtoolsgpt-4openaipull-request
hussam789/TResNet
Mar 2020 - Aug 2020
TResNet: High Performance GPU-Dedicated Architecture
Contributions:72 commits, 72 pushes in 4 months
cudagpu-programminggpu-accelerationinfinibandgpu
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