Moshe Schorr is a software engineer at Google with seven years of experience building backend tools and research software, after roles at the University of Haifa and Mobileye. He co-founded HaMapah, where he applies quantitative analysis to Rabbinics and blogs about that work, blending technical rigor with humanities research. On GitHub he has contributed to pybaseball, improving HTML parsing and Lahman DB integration to make historical baseball stats more reliable for analysts. Trained in computer science at Technion and with roots at Yeshivat Har Etzion, Moshe brings a thoughtful, data-driven approach to engineering problems and an unusual cross-disciplinary interest in both religious texts and sports analytics.
8 years of coding experience
3 years of employment as a software developer
Bachelor of Science (B.Sc.), Computer Science, Bachelor of Science (B.Sc.), Computer Science at Technion - Israel Institute of Technology
Pull current and historical baseball statistics using Python (Statcast, Baseball Reference, FanGraphs)
Role in this project:
Back-end Developer
Contributions:11 releases, 214 reviews, 44 commits in 4 years 3 months
Contributions summary:Moshe primarily focused on improving the `pybaseball` library, which involves fetching and processing baseball statistics. Their main contribution was replacing `html.parser` with `lxml` for parsing HTML in several modules, including `standings.py`, `league_batting_stats.py`, and others, to improve parsing efficiency. Additionally, the user fixed various issues within the Lahman database integration, updating file paths and the Chadwick Bureau link. They also updated the version number of the library.
Contributions:47 commits, 29 pushes, 1 branch in 1 month
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