Nik Bamert
Senior ML Engineer at Hexagon Robotics, based in Zurich, Switzerland.
I build efficient ML systems where algorithms meet production constraints.
My industry experience spans building and operating production CV/ML systems, including 3D reconstruction and inference pipelines, as well as ML performance optimization and resource-constrained embedded software. I also conducted research at ETH Zurich CVG on efficient representations for computer vision, including high performance feature matching and quantization-aware training of neural networks.
You can reach me through LinkedIn or GitHub.
Featured
Building a Semantic Search Engine for arXiv with Fine-Tuned Embeddings
AgenticKernel: 43× C++ Kernel Speedup with LLMs
Speeding Up Binary Feature Matching with a Cache-Friendly Hash Join
35-Class Audio Keyword Spotting on STM32 ↗
SIMD Implementation of PatchMatch Stereo ↗
Fast Adaptive Depth Estimation ↗