Summary
Shantanu Sharma is a multidisciplinary AI and engineering executive with 13+ years of experience building low-latency trading systems, enterprise AI platforms, and consumer fintech products across healthcare, financial services, and enterprise software. He pairs a Ph.D. in Biochemistry and 1,100+ citation research pedigree with hands-on systems engineering—from cache-coherent event processors handling tens of millions of messages per second to scalable RAG pipelines and document-understanding systems. As a founder-CTO he scaled an AI-driven mortgage origination business to $30M+ originations and top-quartile customer satisfaction, while in enterprise roles he has delivered production-grade ML, MLOps, and RPA solutions that reduced QA and inference costs materially. His work spans both rigorous academic research (EB-1 Outstanding Researcher) and pragmatic product outcomes, including open-source AI safety benchmarking and inference throughput improvements. Now leading AI initiatives at Goldman Sachs and via his fractional Sharma Labs practice, he focuses on safe, compliant GenAI adoption for regulated domains. He’s equally comfortable optimizing compute pipelines as he is translating ML research into measurable business impact.
13 years of coding experience
15 years of employment as a software developer
Indian Institute of Technology Kanpur
Doctor of Philosophy (Ph.D.) Biochemistry (Research: Computer Simulations Molecular Modeling Big Data), Doctor of Philosophy (Ph.D.) Biochemistry (Research: Computer Simulations Molecular Modeling Big Data) at The University of North Carolina at Chapel Hill
Chinese, English, Hindi, Spanish