Fabian Grob
MSc Fellow at relAI Konrad Zuse School of Excellence
Munich, Bavaria, Germany
Summary
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Rockstar🎓
Top SchoolFabian Grob is an applied ML engineer and MSc Fellow at TUM with five years of experience optimizing neural networks, particularly in quantization and post-training optimization. He has contributed to open-source tooling such as the Brevitas quantizer while working on ML tooling at AMD and building research prototypes at RWTH Aachen and NYU focused on fairness and code generation for LLMs. Fabian blends hands-on engineering—TensorFlow, NumPy, and frontend work in VueJS—with client-facing experience from Deloitte, aligning technical solutions to business needs. Based in Munich, he pairs rigorous academic training (RWTH Aachen, AGH Krakow, now TUM) with practical research-to-production skills. Outside work he treats marathons and coffee recipes like experiments, applying the same measurement-driven mindset to model performance and daily life.
5 years of coding experience
2 years of employment as a software developer
Abitur, Abitur at Marianne-Weber-Gymnasium LemgoMaster's degree Computer Science, Master's degree Computer Science at Technical University of MunichBachelor of Science - BS Informatik, Bachelor of Science - BS Informatik at RWTH Aachen UniversityBachelor of Science - BS Computer Science, Bachelor of Science - BS Computer Science at AGH University of Krakow
English, Spanish, German
Github Skills (10)
fpga10
quantization10
xilinx10
image-classification9
quantization-aware-training9
hardware-acceleration9
deep-learning9
pytorch9
speech-recognition8
machine-learning8
Programming languages (1)
Github contributions (5)
fabianandresgrob/brevitas
Oct 2023 - Jul 2024
Brevitas: neural network quantization in PyTorch
Contributions:167 pushes, 29 branches in 9 months
fabianandresgrob/streamlit-advanced-plotly-chart
Mar 2023 - Oct 2023
Contributions:1 review, 1 PR, 4 pushes in 7 months
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