Curriculum Vitae
Experience & Education
Technical strengths across research and industry.
Experience
Jan 2025 — Present
Machine Learning Research Scientist
Carl Zeiss, Munich, Germany
- Implementing robust ML solutions for sensitive use cases (surgical rooms, GPU components, FPGAs)
- Optimizing and deploying models on Edge devices with critical energy efficiency requirements
- Reducing computation costs (memory, bandwidth, network size, energy consumption)
- Supervising interns and students
Jul 2024 — Dec 2024
Research Assistant
CARIAD (Volkswagen Group), Munich, Germany
- Developed visual perception techniques for unknown objects using instance segmentation
- Achieved state-of-the-art performance on COCO dataset
- Submitted findings to CVPR
Jan 2024 — Jun 2024
Research Assistant
ETH Zurich / Helmholtz AI / TUM
- Extended master's thesis to language modeling, LLMs, and vision transformers
- Published at NeurIPS 2024 and AABI
- Initiated a project on network architecture search
Oct 2023 — Mar 2024
Machine Learning Engineer (Part-Time)
BMW, Munich, Germany
- Optimized neural networks for deployment on edge devices
- Designed a framework for model optimization on resource-limited devices
Mar 2023 — Aug 2023
Research ML Engineer (Part-Time)
Huawei Munich Research Center, Munich, Germany
- Optimized task assignments for fleets of robots using RL and LLMs
- Compressed deep learning networks for edge devices
Mar 2023 — Dec 2023
Master Thesis
ETH Zurich, Switzerland
- Sparsified and compressed neural networks using Bayesian Occam's razor
- Achieved a grade of 1.0 and published at NeurIPS 2024
Sep 2022 — Feb 2023
Visiting Researcher
EPFL, Lausanne, Switzerland
- Developed novel data augmentation methods for saliency prediction
- Achieved competitive performance on the MIT300 Validation set
Nov 2020 — Feb 2023
Software Engineer (Part-Time)
Infineon Technologies, Munich, Germany
- Conducted microchip testing and development
- Built an AI pipeline for leakage detection with efficient autoencoder
Apr 2022 — Sep 2022
Research Project: Data Innovation Lab
Intel, Munich, Germany
- Researched and developed sparse and quantized neural networks
- Improved computational efficiency for edge device deployment
Nov 2020 — Jan 2021
Software Engineering Intern
TUM, Chair of Electronic Design Automation
- Worked on an Instruction Set Simulator (ETISS)
- Implemented an ELF loader and managed memory layout
Education
MSc in Robotics, Cognition, Intelligence
Technical University of Munich, Germany
Oct 2021 — Dec 2023 · Completed with over 150 ECTS out of 120
BSc in Electrical Engineering & IT
Technical University of Munich, Germany
Oct 2018 — Sep 2021 · Thesis: TVM LLVM Backend viability for TinyML on RISC-V
Skills
Languages
Frameworks
Expertise
Deployment