03/25/2026 updated
100 % available
freelance ml engineer: reinforcement learning, bayesian inference and probabilistic modelling
Darmstadt, Germany
Worldwide
Computer Science, Master of ScienceAbout me
ml, reinforcement learning and probabilistic inference engineer. 6 years in industry, m.sc. cs tu darmstadt. built bayesian trackers, rl for device calibration, forecasting and pricing. published in tmlr. available for remote contracts, overlap for eu and us hours.
C++ (Programming Language)Python (Programming Language)Machine LearningSimulation SoftwareReinforcement LearningBayes' Theorem (Bayesian Statistics)PyTorchKalman FilterModel Predictive ControlMarkov
rl & control
- policy gradient methods: trpo and mpo in pytorch, tested on pendulum and quanser sims
- device calibration: rl agent, sim to real
- set-point control: model predictive control for an industrial machine
probabilistic
- multi-object tracker: bayesian, kalman filter, loopy belief propagation
- forecasting and pricing: bayesian filter, demand forecasting
data & llm
- influence functions: batched, for neural nets
- log anomaly detection: llm for anomaly detection in logs
- classwise-shapley: tmlr reproduction, certified
stack
inference: state-space models, bayesian filtering, kalman filter, variational inference, mcmc, factor graphs, belief propagation
rl & control: policy gradient methods, sim-to-real, model predictive control / ilqr, active inference
tools: jax, pytorch, ray, c++, python
Experience
Professional experience5 - 10 years
Freelancer since2022
Languages
DeutschNative speakerEnglischFluentSpanischGood