Summary
Akhil Lohia is an Applied Scientist II with nine years of experience applying machine learning and statistical modeling to large-scale internet products, currently driving ranking and merchant discovery on Amazon's Featured Merchant Algorithm team. He combines rigorous academic training—a MS in Data Science from Barcelona School of Economics and an economics degree from IIT Kanpur—with hands-on production work across Google, MakeMyTrip, and health-tech startup eka.care. His projects span recommendation and search systems, intent prediction, feature-store engineering on AWS Redshift, and medical document understanding, plus leading a high-impact chatbot that served hundreds of thousands of users. Akhil has bridged research and product throughout his career, contributing to academic studies on social networks and structural estimation at top universities before moving into industry. He’s a practitioner of deep learning in NLP and has taught PyTorch workshops at major industry conferences, signaling both technical depth and an ability to communicate complex ideas. Based in Bengaluru, he blends economist-style causal thinking with pragmatic ML engineering to deliver measurable product gains.
9 years of coding experience
9 years of employment as a software developer
Indian Institute of Technology Kanpur
Master of Science (MS), Data Science, Master of Science (MS), Data Science at Barcelona School of Economics
ISC, ISC at Dr. Virendra Swarup Education Centre, Kidwai Nagar, Kanpur
English, Hindi, Spanish