Summary
Gautam Kunapuli is a Director of AI & ML with 12 years of experience bridging academic research and product-facing machine learning across healthcare, social analytics, and perception systems. He leads teams at Motive after progressing from engineering manager to director, applying expertise in human-in-the-loop learning, knowledge-based/advice-taking algorithms, and scalable non-convex optimization to production problems. His background includes faculty-level research and industry R&D where he built large-scale metric learning, KBIRL, and fast inference engines for MLNs, and deployed ML for personalized tutoring, disaster response, and medical informatics. Known as a perpetual academic and author, he blends rigorous PhD-level foundations in mathematics with hands-on engineering management to deliver interpretable, data- and expert-informed solutions. An uncommon strength is his track record of turning advice-driven learning research into operational systems that support expert refinement and real-world decision making.
11 years of coding experience
19 years of employment as a software developer
BS Electrical Engineering, BS Electrical Engineering at University of Madras
PhD Mathematics, PhD Mathematics at Rensselaer Polytechnic Institute
English, Telugu, Hindi, Tamil