Ryan Ehrlich
AI Research Scientist at Meta
Palo Alto, California, United States
Summary
🤩
Rockstar🎓
Top SchoolRyan Ehrlich is an AI research scientist and software engineer with a decade of experience building scalable ML and backend systems across Meta, Google, Stanford's Scaling Intelligence Lab, and IDEO. He blends production-grade engineering—improving app performance and building mission-critical integrity systems—with cutting-edge research in self-supervised learning and generative AI, including publications from Hazy and Scaling Intelligence. A former contributor to high-profile open-source projects like Facebook’s Mononoke/sapling, he brings practical systems work (e.g., suffix-based file filtering and robust testing) to research-driven problems. Based in Palo Alto and incoming PhD student at Stanford, he pairs a Waterloo software engineering and combinatorics background with a track record of speeding up real-world workflows by an order of magnitude.
11 years of coding experience
6 years of employment as a software developer
Bachelor's, Software Engineering, Bachelor's, Software Engineering at University of WaterlooDoctor of Philosophy - PhD, Computer Science, Ai (incoming), Doctor of Philosophy - PhD, Computer Science, Ai (incoming) at Stanford University
English, Chinese
Github Skills (8)
version-control10
filesystem10
rust10
thrift10
file-operations10
fileio10
api-design9
testing9
Programming languages (8)
Github contributions (5)
facebook/sapling
Jun 2022 - Jun 2022
A Scalable, User-Friendly Source Control System.
Role in this project:
Back-end Developer
Back-end DeveloperContributions:5 commits in 1 day
Contributions summary:Ryan primarily contributed to the `facebook/sapling` repository by implementing features related to file path filtering within the Mononoke source control system. Their work involved modifying the thrift interface, adding methods for suffix matching, and adjusting the function signature to accommodate the new functionality. Furthermore, they added new test cases to validate the suffix filtering logic, demonstrating a focus on ensuring the correct behavior of the implemented changes. The overall goal of these changes was to enable filtering based on file suffixes.
control-systemscalablesource-controluser-friendly
Naqu6/flight-viewer
Jun 2017 - Nov 2022
Flight Analyzer for ForeFlight Track Logs
Contributions:1 PR, 1 push, 1 branch in 5 years 6 months
flightloggingforeflightanalyzerlogs
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