- Information Solutions Engineer at Meta, working on PyTorch
- I work on docs.pytorch.org and the tooling that surrounds it
- Lately: AI-native developer documentation, LLM-grounded retrieval over docs, and how to measure whether any of it actually helps developers
- Co-author of The 99% Success Paradox: When Near-Perfect Retrieval Equals Random Selection, on how high recall scores can mask near-random selectivity in production RAG
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Working from home
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pachyderm/python-pachyderm
pachyderm/python-pachyderm Public archivePython client for Pachyderm
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FBGEMM
FBGEMM PublicForked from pytorch/FBGEMM
FB (Facebook) + GEMM (General Matrix-Matrix Multiplication) - https://code.fb.com/ml-applications/fbgemm/
C++ 1
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pytorch/pytorch
pytorch/pytorch PublicTensors and Dynamic neural networks in Python with strong GPU acceleration
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pytorch/examples
pytorch/examples PublicA set of examples around pytorch in Vision, Text, Reinforcement Learning, etc.
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