High-throughput native environments, privileged teachers, edge-shaped policies, telemetry, and staged gates.
Tübingen, Germany / Research & practice
An idea is
a starting point.
I build AI systems and the environments they learn in. Working across simulation, autonomous systems, markets, and learning.
Let’s talkSelected work
01 — 04Market structure, positioning, macro context, native research tooling, and read-only account context.
Language models
Dialogue research
Testing whether smaller language models can predict what users say next.
QLoRA next-turn prediction with multi-step dialogue rollout evaluation.
Professor-owned sources, enforced unlocks, typed tutor capabilities, and learner-owned work.
Notes & observations
All writing ↗Why Brains and LLMs Both Become Modular
XGBoost and the Map of Machine Learning Approaches
Parameter Golf and Distributed Autoresearch
Contribution arc
A quiet record of sustained public building from 2017 onward.
2026
7,333 contributions
2025
1,798 contributions
2024
1,145 contributions
2023
256 contributions
2022
524 contributions
2021
554 contributions
2020
574 contributions
2019
313 contributions
2018
1 contribution
2017
2 contributions
A little context.
I moved from self-taught builder and backend engineer to research engineer and founder. Today I work through Sunderlabs and HB Capital while studying computer science at Tübingen.
View my CV ↗