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Achievements

Achievement: Pull Shark

Achievements

Achievement: Pull Shark

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edarsem/README.md

I build stuff to learn and to actually use.

Personal projects

  • 🏃 training-os — my own training platform with a coach that actually sees my sessions. FastAPI backend, MCP-based LLM chat that can actually query my Strava data, reverse eng of Corros with TL/ATL/CTL/ACWR analytics. Born out of frustration of lack of integration between chatbots and physiologic data.
  • ♟️ chessformer — a transformer trained from scratch to play a human moves, not the best moves. Eventual goals: feeling bar instead of eval bar, cheating detection, player style imitation, clock-situation aware engine, beatable bots at every level. Currently 50M parameter model trained on 100M tokens (100k games, 6 epochs).

Stuff I've worked on

  • 🧠 ReWiSe — my MSc research at Mila / LAMA-WeST. Knowledge extraction from LLMs with relation-wise self-consistency. Won LM-KBC 2025.
  • 🎮 ConnectZero — self-play dynamics for RL agents on Connect 4.

Pinned Loading

  1. training-os training-os Public

    A personal agentic training coach : LLM coach using MCP tools to query your sessions, training load analytics (TL, ATL, CTL, ACWR), UI/UX with calendar and analysis hub, all with strava sync

    Python 1

  2. chessformer chessformer Public

    Building from scratch a transformer playing human chess. The eval bar doesn't show how the player feels, now it does.

    Python 3

  3. Lama-West/ReWiSe Lama-West/ReWiSe Public

    Python 2

  4. ConnectZero ConnectZero Public

    A project exploring self-play settings and agent performance in Connect 4.

    Jupyter Notebook 1