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OliverKrr/README.md

Oliver Karrenbauer

Senior Software Engineer at @prenode in Karlsruhe, Germany — AI and IIoT for industrial manufacturing.

Outside work I build the tooling around my own training data: MCP servers that give an LLM a real knowledge base, a Garmin data field for the numbers I actually look at mid-run, and the sync glue in between. Everything self-hosted on a Raspberry Pi.

Projects

coaching-mcpMulti-user coaching MCP server for Claude. SQLite + FTS5 knowledge base, built-in OAuth 2.1 authorization server federating to an OIDC provider, one isolated DB per user, and a zero-JavaScript bilingual web UI. TypeScript.
garmin-connectiqRun Cockpit — a full-screen Connect IQ data field: pace or power coloured by training zone, switching automatically on climbs, plus HR and a live time-in-zone chart. Monkey C.
hevy2garminTurns Hevy gym workouts into FIT files on Garmin Connect — exercise names, sets, reps, weights, HR overlay, calorie estimation. Python.

Earlier: an ontology-based expert system for designing humanoid robot components (KIT, Java/OWL).

Elsewhere

LinkedIn

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  1. coaching-mcpcoaching-mcpPublic

    Multi-user coaching MCP server for Claude — SQLite+FTS5 knowledge base, built-in OAuth 2.1 with OIDC login, one isolated DB per user, zero-JavaScript web UI

    TypeScript

  2. garmin-connectiqgarmin-connectiqPublic

    Run Cockpit — a full-screen Garmin Connect IQ data field for running: pace or power by training zone, heart rate, and a live time-in-zone chart

    Monkey C

  3. hevy2garminhevy2garminPublic

    Forked from drkostas/hevy2garmin

    Sync Hevy gym workouts to Garmin Connect with exercise names, sets, reps, weights, HR overlay, and calorie estimation

    Python 1