Soham Gadgil is a PhD student and Graduate Research Assistant at the University of Washington with a decade of experience building ML-driven systems across healthcare, cloud tooling, and embedded robotics. He has contributed to medical imaging and computational neuroscience research with publications at MICCAI and MIDL, and developed semi-supervised methods that meaningfully close the gap to radiologist performance. In industry roles at Microsoft and Genentech he delivered production automation services and biomarker-discovery models that saved developer time and advanced diagnostic pipelines. Soham also teaches AI fundamentals to high-school students and designs hands-on lab curricula, reflecting a strong inclination for mentorship and communication. Comfortable moving between research and production, he combines deep technical breadth—from RESTful APIs and CI/CD to graph convolutional networks—with a track record of measurable impact. An early interest in embedded perception and large-scale data systems underpins his pragmatic approach to applied research.
10 years of coding experience
4 years of employment as a software developer
Doctor of Philosophy - PhD Computer Science, Doctor of Philosophy - PhD Computer Science at University of Washington
Bachelor’s Degree Computer Engineering, Bachelor’s Degree Computer Engineering at Georgia Institute of Technology
Master's degree Computer Science, Master's degree Computer Science at Stanford University
Contributions:16 pushes, 1 branch in 2 years 4 months
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