Uses

Tools & Gear

What I use for research, writing, and daily work.

Research & ML

  • Python — scikit-learn, XGBoost, pandas, pingouin
  • R — lme4, lmerTest for mixed-effects models
  • LLM APIs — OpenRouter (multi-provider), OpenAI, Anthropic
  • Contextual Bandits — LinUCB implementation for adaptive interventions
  • UCS Engine — Custom LLM-as-judge evaluation pipeline

Development

  • Editor — Cursor / VS Code with AI assistants
  • LLM Tools — Claude Code, Reasonix, ChatGPT, Hermes
  • Frontend — Astro, Tailwind CSS, Streamlit, Gradio
  • Infrastructure — Docker, GitHub Actions, pytest
  • OS — Windows 11 with WSL2

Writing & Reference

  • Writing — Overleaf (LaTeX), Google Docs
  • Reference Management — Zotero
  • Diagrams — draw.io, TikZ

Hardware

  • Machine — CPU-only. All ML runs via API or local CPU inference.
  • Monitor — Single 27" 4K display

No GPU dependency — all research is designed to be reproducible on commodity hardware.

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