Summary
Adam Klimont is a Senior Machine Learning Engineer based in the Greater Cambridge Area with 13 years of experience applying deep learning to medical imaging and medtech products. With a PhD in experimental physics from Cambridge, he blends rigorous research—designing and fabricating terahertz waveguides—with practical ML engineering, building cloud-based data pipelines, multi-GPU training workflows, and safe production deployments. At Cydar he has productionised segmentation, classification and registration models for 2D fluoroscopy and 3D CT, and owns end-to-end tooling from ITK/VTK data processing to reproducible AWS deployments. He is a pragmatic Pythonist and open-science advocate who releases code and leverages open-source tools across scientific and clinical stacks. A less obvious strength is his ability to translate lab-grade experimental control and signal-processing expertise into robust software solutions for regulated digital medicine.
13 years of coding experience
Machine Learning, Machine Learning at Big Dive
University of Cambridge
Master of Science (MS), Engineering Physics/Applied Physics, 5.0/5.5, Master of Science (MS), Engineering Physics/Applied Physics, 5.0/5.5 at Technical University of Wroclaw
French, English, Polish