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13Mai13/README.md

Hi, I'm Mai 👋

I'm an engineer working on AI safety and security.

I'm interested in what capable AI systems can do in adversarial environments: how agents fail, how to red-team them, and how to build evaluations and safeguards that give defenders the advantage.

Working on now

  • agent-vcs: source control for a world where most clients are agents, from scratch in Rust. Design first, nothing works yet.

What's here

Most repos below are archived learning projects and short MVPs. Each README says what it is, what it isn't, and why I built it.

  • notebook-parser: photos of handwritten notebooks → tagged Obsidian notes, with Claude's vision API
  • llm-server: LLM inference server with structured-output validation, batching and rate limiting
  • inbox-search: semantic search over my open browser tabs
  • pycones23: my PyConES 2023 talk on ML experimentation with MLflow

Work on AI safety and security is coming. I'll pin it here when it's worth showing.

Elsewhere

Pinned Loading

  1. pycones23 pycones23 Public archive

    PyConES 2023 talk: building an ML experimentation setup with MLflow (slides + notebook)

    Jupyter Notebook 5

  2. notebook-parser notebook-parser Public archive

    Turns photos of handwritten notebooks into tagged Obsidian markdown, using Claude's vision API

    Python

  3. llm-server llm-server Public archive

    LLM inference server with structured-output validation, batching, rate limiting and metrics (FastAPI)

    Python

  4. agent-vcs agent-vcs Public

    Agent-scale source control from scratch in Rust, inspired by Anthropic's Scion

    Rust