Tal R is a Senior Deep Learning Researcher based in Tel Aviv with nine years of experience building production-ready ML and computer vision systems across startups and large tech firms. He has held senior research roles at Mobileye, Qodo, Amazon Lab126 and Alibaba, applying physics and EE foundations from Technion and an MS in Physics to real-world perception challenges. Tal’s background spans algorithm development, embedded vision and backend tooling—he contributed backend fixes to the open-source PR-Agent that automates pull-request analysis, showing attention to developer workflows as well as models. Known for moving research into product, he blends rigorous academic thinking with pragmatic engineering to deliver robust pipelines and inference solutions. Colleagues describe him as a problem-solver who iterates quickly on edge constraints and production reliability.
9 years of coding experience
13 years of employment as a software developer
physics and electrical engineering, physics and electrical engineering at Technion - Israel Institute of Technology
Master of Science (MS), Physics, Master of Science (MS), Physics at Ben-Gurion University of the Negev
🚀 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
Contributions:12 releases, 628 reviews, 1398 PRs in 1 year 9 months
Contributions summary:Tal's commits focused on modifying the GitHub provider and the PR questions tool within the pr-agent repository. These changes involved deleting comments, adding try-except blocks, and formatting code. This indicates work related to backend functionalities of the project. Further commits include minor fixes and adjustments within the codebase, indicating a focus on enhancing the internal workings of the project.
Contributions:6 reviews, 13 PRs, 19 pushes in 1 year 5 months
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Tal R - Senior Deep Learning Researcher At Mobileye