Kilian Pfeiffer is a Lead Engineer based in Munich with 11 years of experience specializing in computer vision and ML systems engineering since 2016, including peer-reviewed publications. He blends deep research experience from RWTH Aachen and Bosch with hands-on production work—shipping semantic segmentation and UAV-based weed-detection pipelines and automating monitoring that improved usable map rates by ~40%. At Tensordyne he moved from compressing and quantizing networks for custom hardware to architecting PyTorch SDKs and now builds compiler frontends to deploy LLMs at maximum hardware performance. His strengths lie in rapid prototyping and end-to-end automation of ML pipelines, plus low-level numerical insight into transformer math and quantisation trade-offs. Equally at home with SLURM clusters and embedded LLVM tooling, he brings a pragmatic research-to-product mindset that consistently turns experimental ideas into deployable systems.
11 years of coding experience
10 years of employment as a software developer
Bachelor's degree Elektrotechnik und Elektronik, Bachelor's degree Elektrotechnik und Elektronik at Saint Peter's University
Master's degree Computer Engineering, Master's degree Computer Engineering at RWTH Aachen University
Master's degree, Master's degree at Tohoku University
Contributions:2 PRs, 11 pushes, 1 branch in 2 years 2 months
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