Summary
Harshit Pande is an AI-focused machine learning scientist with 12 years of experience building production-grade deep learning, computer vision, and NLP systems across startups and large tech. He has led cross-team deliveries at Amazon—driving AGI, Alexa search robustness, LLM fine-tuning, and advertising optimization—and now contributes to Bloomberg’s AI initiatives. Earlier roles at Adobe and SigTuple show a track record of shipping medical imaging and enterprise data-science products, combining research rigor with product execution. His academic background spans MTech in Computer Science from IIT Bombay and an MS in Structural Biology from McGill, a mix that fuels an interdisciplinary approach to complex modeling problems. Known for turning research ideas (e.g., LLM-based document expansion and entity enrichment) into scalable systems, he often bridges model innovation with practical engineering constraints. Based in Toronto, he balances deep technical leadership with hands-on implementation across the ML stack.
11 years of coding experience
10 years of employment as a software developer
Indian Institute of Technology Bombay
Indian Institute of Technology Roorkee
Master of Science (M.S.) Structural biology Biochemistry Biophysics, Master of Science (M.S.) Structural biology Biochemistry Biophysics at McGill University
English, French, Hindi