Ashwin Samudre is a research engineer based in Seattle with eight years of experience applying computer vision, deep learning, and graph representation learning to scientific imaging problems. He has driven projects across institutions like Allen Institute, EMBL, CNRS and Simon Fraser University, producing methods for 3D instance segmentation, SMLM structural analysis, and automated blood-cell classification that helped spin out a startup and resulted in peer-reviewed publications. Comfortable moving between prototype pipelines and rigorous research, Ashwin blends image analysis, trajectory/graph processing, and few-shot transfer learning to solve sparse, noisy, and volumetric data challenges. He has a strong background in high-performance computing and open-source tool development from earlier work at CERN and KDE, demonstrating an ability to ship practical tooling as well as novel algorithms. Known for turning domain-specific microscopy problems into generalizable ML solutions, he pairs academic rigor with product-focused delivery.
8 years of coding experience
4 years of employment as a software developer
Bachelor of Engineering - BE, Computer Engineering, Bachelor of Engineering - BE, Computer Engineering at Pune Institute of Computer Technology
Master of Science - MS, Computer Science, Master of Science - MS, Computer Science at Simon Fraser University
Contributions:47 releases, 2 PRs, 107 pushes in 2 months
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