Shalin Shah is an Executive Director focused on AI/ML with 13 years of experience bridging cutting-edge research and production systems, currently leading next-generation LLM platform work at JPMorgan Chase. He holds a PhD in Electrical & Computer Engineering from Duke and a CS M.S., and has authored 20+ peer-reviewed papers with 750+ citations across NLP and multimodal AI, publishing at NAACL/EMNLP/ACL. At Bloomberg he built scalable extraction and document-inference systems for finance and news, translating academic advances into robust, domain-specific pipelines. Earlier work blended nano science and computation—contributing to DNA computing and storage publications in venues like Nature—highlighting an unusual cross-disciplinary fluency in complexity theory, ML, and stochastic modeling. Based in New York, he combines deep research rigor with product-minded engineering to deploy impactful AI solutions in regulated, high-stakes environments.
13 years of coding experience
5 years of employment as a software developer
Master's degree, Computer Science, Master's degree, Computer Science at Duke University
Bachelor of Technology (B.Tech.), Information and Communication Technology, Bachelor of Technology (B.Tech.), Information and Communication Technology at Dhirubhai Ambani Institute of Information and Communication Technology
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