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VanGogh-7/README.md
Orion Van Gogh — Mathematics, Artificial Intelligence, and Systems

Rotating lines describing Orion's technical interests

01 / PROFILE

Mathematics student working at the intersection of mathematics and computer science, especially algebra, topology, machine learning, and AI systems. I build primarily with Rust and Python, with Linux as my daily development environment. CURRENTLY EXPLORING

Agent Runtime
LLM Systems
Retrieval-Augmented Generation
Distributed Agent Architectures

02 / TOOLBOX

Languages, AI and data technologies, and systems tools

03 / INTERESTS

Mathematics: algebra, topology, and analysis Intelligence: machine learning, LLM systems, RAG, and AI agents Systems: Rust, agent runtimes, distributed systems, and AI infrastructure

04 / SELECTED WORK

machine_learning — a Python machine-learning project liquid-neural-networks-from-scratch — Liquid Neural Networks from first principles

Group — strongly typed asynchronous state-graph runtime for Rust agents Reliable-codex-harness — deterministic engineering control-plane kernels for Codex

05 / ACTIVITY

VanGogh-7 public GitHub activity and repository-language footprint

Language footprint is calculated from bytes reported by GitHub across public, non-fork repositories. It is repository composition, not a proficiency ranking.

06 / CONTRIBUTIONS


Contribution graph animated as a snake

∫ mathematics · code · intelligence

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  1. machine_learning machine_learning Public

    my machine_learning project.

    Python

  2. Reliable-codex-harness Reliable-codex-harness Public

    Deterministic engineering control-plane kernels for Codex

    Python

  3. Group Group Public

    The agent underlying development framework in Rust.

    Rust 47

  4. liquid-neural-networks-from-scratch liquid-neural-networks-from-scratch Public

    Liquid Neural Networks from first principles: curriculum, LaTeX textbook, pure PyTorch implementations, and reproducible experiments

    TeX