Sebastian BoehlerResearch engineer & founder

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 talk
01 / The shape of learningHeight = loss
Gradient descent
Small steps. A different perspective.Illustrative objective · θ₁, θ₂

Selected work

01 — 04
01

Autonomous systems

Sunderlabs / FlightRL

Training compact policies before they reach real hardware.

High-throughput native environments, privileged teachers, edge-shaped policies, telemetry, and staged gates.

02

Markets & infrastructure

HB Capital

Keeping market claims attached to their evidence.

Market structure, positioning, macro context, native research tooling, and read-only account context.

03

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.

04

Learning systems

LecturePilot

Turning private course material into controlled learning workspaces.

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

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 ↗