Thomas B. Brunner
AI Research Engineer at Helsing
Germany
Summary
👤
Senior🎓
Top SchoolThomas B. Brunner is an AI research engineer based in Germany with nine years of experience bridging reinforcement learning, deep learning, and robotics into production-grade systems. He develops scalable RL solutions for planning and control, currently applying these methods to defense planning problems at Helsing and previously reimplementing AlphaStar-style architectures for efficient experience collection. His master’s work combined Bayesian deep learning and RL to make legged-robot controllers (ANYmal) more uncertainty-aware and safe, including a custom PyTorch package and privileged pre-training pipelines. Earlier roles at Magazino gave him robust production software and embedded systems experience, improving firmware and ROS stacks for deployed robots. He blends academic rigor (MSc with distinction, thesis at ETH Zürich) with hands-on systems engineering, favoring scalable pipelines over toy proofs. Colleagues would note his knack for turning research prototypes into reliable, large-scale RL workflows.
9 years of coding experience
3 years of employment as a software developer
Exchange Program, Exchange Program at Sorbonne UniversitéB.Sc. Mechanical Engineering, B.Sc. Mechanical Engineering at Technical University MunichMaster's Thesis, Deep Learning, 1.0, Master's Thesis, Deep Learning, 1.0 at ETH Zürich
English, German, Portuguese, French
Github Skills (197)
parallel10
multi-agent-reinforcement-learning10
python10
distributed-computing10
datasets10
hyperparameter-optimization10
deep-learning10
automl10
ray10
optimization10
robotics10
torchvision10
decision-making10
deep-reinforcement-learning10
computer-vision10
Programming languages (13)
Github contributions (5)
thomasbbrunner/quadric-engine
Feb 2019 - Aug 2022
Contributions:116 commits, 22 pushes, 2 issues in 3 years 6 months
thomasbbrunner/arduino-reverse-engineering
Mar 2020 - Jun 2022
Contributions:5 commits, 4 pushes, 1 branch in 2 years 3 months
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