ML Engineer & Consultant 04/2024–Present | Self-employed | Germany (Remote)
Distilled a broader battery ML research system into batgrad, a reproducible public workflow that takes heterogeneous cycling data from ingestion through training and long-horizon model evaluation.
Completed a separate seven-month consulting engagement with Chemix Inc., a Silicon Valley battery startup.
- At Chemix, introduced distributed hyperparameter optimization using SMAC3, Dask, and Weights & Biases, identifying a more parameter-efficient model with improved validation performance.
- At Chemix, built reusable, standardized cycling workflows spanning PyBaMM-based long-horizon synthetic data generation and laboratory test-cycler execution.
- Built a reproducible research pipeline that carries traceable cycling datasets through Optuna-based architecture search across multiple GPUs to rollout-validated checkpoints.
- Used gradient diagnostics to identify training instabilities and guide changes to model architecture and learning objectives.
- Redesigned validation around long-horizon rollouts that reflect autoregressive inference rather than next-step prediction alone.
10/2023–03/2024 | Solo Motorcycle Travel | Vietnam
ML Research Intern & Master's Thesis 06/2022–09/2023 | Fraunhofer ISE | Freiburg, Germany
Proposed and independently conducted a study comparing ML models for state-of-charge estimation in NMC and LFP cells. Systematic benchmarking and hyperparameter optimization favored a decoder-only Transformer as the most practical neural approach, while validated cell-specific equivalent-circuit models remained more accurate on measured data.
Embedded Systems Intern 06/2021–05/2022 | Telocate GmbH | Freiburg, Germany
Designed and built an end-to-end smart-glove prototype integrating a custom four-channel acquisition PCB and FPGA interface with time-series ML for real-time detection of object presence.
10/2018–10/2020 | Travel & Licensed Electrical Work | Asia and Australia
Battery Engineer 04/2017–09/2018 | MAHLE GmbH | Stuttgart, Germany
Owned electrical interface design for an 800 V/750 kW immersion-cooled battery pack prototype.
- Drove cross-functional electrical integration from module development through full-pack validation, resolving competing technical requirements across internal departments, suppliers, and OEM stakeholders to deliver a prototype that met its specifications.
- Developed a reusable transient electrothermal busbar simulation tool that replaced repeated one-off analyses and accelerated hotspot assessment during design iterations.
- Named co-inventor on two battery-system patent publications: US20200153060A1 and US20200119415A1.
Hardware Intern & Bachelor's Thesis 04/2016–03/2017 | MAHLE GmbH | Stuttgart, Germany
Brought up and validated a bidirectional DC/DC converter for thermoelectric waste-heat recovery at both the converter and vehicle-system levels through driver and sensor characterization, SPICE-based fault analysis, bench measurements, and system modeling in Simulink and PLECS.
M.Sc. Embedded Systems Engineering 11/2020–09/2023 | University of Freiburg | Freiburg, Germany
B.Eng. Mechatronics 10/2012–03/2017 | Ulm University of Applied Sciences | Ulm, Germany
Mechatronics Apprenticeship & Licensed Electrician 08/2008–09/2015 | OSRAM AG | Augsburg, Germany
Completed a mechatronics apprenticeship and returned during semester breaks as a full-time licensed electrician, handling switchboard wiring, high-power cabling, fault tracing, and small-team coordination.