Summary
Abhimanyu Talwar is a machine learning leader and founder with nine years of cross-disciplinary experience building production LLM pipelines and conversational intelligence for contact centers. As Co-founder and CTO (and former Head of ML) at Level AI, he designs and finetunes models, mentors ML teams, and ships end-to-end training and deployment systems. He previously built QuickFin.AI, a self-built NLP product for querying 12,000+ financial filings that featured on Product Hunt, and earlier worked on intent and homophone models at SoundHound. His background blends rigorous academic training (S.M. in Data Science from Harvard, CS at IIT Delhi) with a prior career in structured credit investing at Nomura and BlackRock, giving him uncommon fluency in both ML and financial domains. Based in Toronto, he blogs about ML and maintains an active GitHub, combining research curiosity with pragmatic product engineering.
9 years of coding experience
12 years of employment as a software developer
Indian Institute of Technology Delhi (IIT Delhi)
PGDM, PGDM at Indian Institute of Management Ahmedabad
Master of Science - MS, Data Science, Master of Science - MS, Data Science at Harvard University
St. Xavier's School, Delhi