Summary
Devansh Arpit is a founder and research-driven CTO with nine years of experience advancing deep learning and foundation models, currently building Modelable AI—an agentic AI co-pilot that automates clinicians’ workflows from voice-to-note to EMR integration and billing. He combines hands-on research pedigree from a PhD in Machine Learning and a postdoc at MILA with industry R&D leadership as a Senior Research Scientist at Salesforce Research. Devansh has a track record of translating cutting-edge ML into products, having founded multiple startups and shipped applied AI for video and healthcare. Based in Canada, he bridges academic rigor and product focus, often specializing LLMs for domain adaptation and operationalization. An under-the-radar strength is his ability to integrate agent frameworks with proprietary models to solve complex, multi-step clinical tasks end-to-end.
9 years of coding experience
7 years of employment as a software developer
Doctor of Philosophy (Ph.D.), Machine Learning, Doctor of Philosophy (Ph.D.), Machine Learning at State University of New York at Buffalo
B.Tech, Electrical Engineering, 7.48/10, B.Tech, Electrical Engineering, 7.48/10 at Indian Institute of Technology (Banaras Hindu University), Varanasi
English, Hindi