Saurav Bose is a Co-Founder and AI-native health systems builder with nine years of experience designing and shipping large-scale machine learning and data platforms. Previously he led zero-to-one ML initiatives at Foursquare—creating an H3 feature store, model-as-a-service, and centralized ML platform that processed billions of data points and maintained venue reality for 100M+ places. His background includes NIH-funded clinical ML research at CHOP where he partnered with clinicians and radiologists to deploy predictive and imaging models, bridging healthcare and production engineering. Comfortable across the stack—from Airflow, Kafka, Spark, Iceberg and Kubernetes to CNNs and XGBoost—he combines rigorous academic training in computational science with product-driven, cross-functional delivery. Based in New York, he brings a rare mix of geospatial systems engineering and clinical ML experience to health-focused AI innovation.
9 years of coding experience
7 years of employment as a software developer
Bachelor of Technology (B.Tech.) Engineering, Bachelor of Technology (B.Tech.) Engineering at National Institute of Technology Karnataka
High School Computer Science, High School Computer Science at National Public School
Master of Science (M.S.) Computational Science, Master of Science (M.S.) Computational Science at University of Pennsylvania
Contributions:58 pushes, 1 branch in 4 years 9 months
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