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  • FDE @ Palantir | prev SWE AI/ML @ Cisco
  • San Francisco, CA

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ndavidson19/README.md
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I am a Forward Deployed Engineer at Palantir Technologies developing mission-critical technologies. My background lies at the intersection of theoretical mathematics and production engineering. I graduated from UCLA with a degree in Data Theory, a specialized program combining higher-level Mathematics and Statistics.

Currently, I architect solutions using TypeScript, Java, Python, and Rust. Previously, I spent two years as a Software Engineer at Cisco, building distributed web services with Golang and React, while leading research into the deployment of Small Language Models (SLMs) on edge hardware.


Research & Publications

My work focuses on demystifying AI infrastructure for network engineering and optimizing LLMs for consumer-grade hardware.



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  1. QuantaForge QuantaForge Public

    Framework for quantitative algorithm creation

    Python 4 2

  2. open-devin open-devin Public

    An Open Source Multi-Agent LLM Software Dev inspired by Devin

    Python 10 7

  3. cpu-chess cpu-chess Public

    a resource constrained one file python chess engine implementation

    C