CV

Work experience

12.2023 - now: AI Engineer
- Gradient; Bay Area, United States
11.2022 - 12.2023: ML Engineer
- Rohde & Schwarz; Munich, Germany
- Applied Research - Machine Learning
- Accelerating and productionizing Large Language Models
02.2022 - 08.2022: Guest Researcher
- Technical University of Denmark and Max Plank Institute for Intelligent Systems - Empirical Inference, Tübingen
- Thesis title: Multi-Target Multi-Object Manipulation using Relational Deep Reinforcement Learning
04.2020 - 06.2021: Machine Learning Operations
- Bosch Rexroth; Remote, SC, USA and Ulm, Germany
- Topics: Time-series modeling, Cloud architecture and ML pipelines in Azure.
- Working remotely with the team in the US. Part-time contract.
05.2019 - 01.2020: Data Science Intern
- Bosch Rexroth US; Greater Chicago Area, United States
- Topics: Machine Learning, Edge Computing, IIoT
- Bachelor Thesis: Deep Learning-based Anomaly Detection Approach on CNC Milling Machines in an IIoT Environment, leading to a co-authored publication: https://github.com/boschresearch/CNC_Machining
2017 - 2019: Teaching Assistant:
- Karlsruhe Institute of Technology, ITM & IPEK
07.2016 - 09.2016: Technical Intern
- Syntegon Technology (former Bosch Packaging); Crailsheim, Germany

M.Sc. in Robotics, Cognition Intelligence, TU Munich, 10.2020 - 10.2022 (german GPA: 1.5)
Erasmus Exchange Student: Technical University of Denmark, 09.2021 - 01.2022
M.Sc. in Electrical Engineering and Information Technology, Karlsruhe Insitute of Technogy, 03.2020 - 09.2020, recognition at TU Munich
B.Sc. in Mechatronics and Information Technology, Karlsruhe Insitute of Technogy, 10.2016 - 03.2020, top 25% of graduates

Field Engineer at Engineers without Borders KIT e.V. (2018-2020)
- Group Lead for Community work & NGO Communications
- On-site electical engineer in Iyolwa, Uganda Summer 2018
Leading youth group for kids age 8-13 at protestant church Rot am See (2013-2016)