Sripad Joshi is a research scientist with eight years of experience specializing in computer vision and medical imaging, now based in Redwood City, California. After earning a stellar academic record—B.Tech from IFHE Hyderabad and a 4.0 MS in Computer Science from Indiana University—he has focused on depth-map prediction, 3D reconstruction, and pathology AI for clinical partners like Yale and Cornell. He progressed through research and engineering roles at Whiterabbit.ai, contributing to both applied product engineering and core research, and has built large-image data pipelines and tissue-unit detectors for the Human BioMolecular Atlas Program. Known for combining rigorous academic training with practical system-building, he also explores self-supervised learning approaches to address class imbalance in medical datasets. Less obvious: he moves fluidly between internship-driven innovation and production-facing research roles, making him effective at translating prototypes into deployable AI tools.
7 years of coding experience
5 years of employment as a software developer
Master's degree, Computer Science, 4.0/4.0, Master's degree, Computer Science, 4.0/4.0 at Indiana University Bloomington
Bachelor of Technology, Computer Science, 9.5/10 (distinction), Bachelor of Technology, Computer Science, 9.5/10 (distinction) at ICFAI Foundation for Higher Education, Hyderabad
Contributions:28 commits, 15 pushes, 1 comment in 14 days
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