Mat Leonard is a Senior Data Engineer in San Francisco with eight years of experience building full‑stack, ML, and data systems that move models from research into production. He has designed end‑to‑end data stacks and shipped browser‑deployed language models (ONNX + WASM), fine‑tuned BERT with contrastive learning, and implemented product features across TypeScript/React frontends and Snowflake-powered backends. His background spans academic research (PhD in Physics) to instructional design and developer education, giving him a knack for making complex systems understandable and repeatable. An active open‑source contributor, he’s fixed bugs and added features to notable projects like the Minecraft bot framework mineflayer, showing curiosity across domains from games to privacy‑preserving ML. Mat pairs rigorous experimental thinking with pragmatic engineering—often fueled by tea—and thrives on tackling tough problems end‑to‑end.
8 years of coding experience
18 years of employment as a software developer
Bachelor of Science (BS), Physics, Bachelor of Science (BS), Physics at Kansas State University
Doctor of Philosophy (Ph.D.), Physics, Doctor of Philosophy (Ph.D.), Physics at UC Berkeley
Create Minecraft bots with a powerful, stable, and high level JavaScript API.
Role in this project:
Back-end Developer
Contributions:2 reviews, 5 commits, 6 PRs in 10 months
Contributions summary:Mat made several contributions to the `mineflayer` project. They addressed a bug related to block interaction by setting extra information to false. The user also fixed typing errors in the TypeScript definition file, and implemented a new feature `bot.usingHeldItem`. Finally, they added a bypass for anticheats that detect sensitivity and updated entities.js.
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