Summary
Kaushik Rangadurai is a seasoned software engineer with 11 years of experience building large-scale ML and recommendation systems at Meta, Google, LinkedIn and earlier roles across Microsoft, Yahoo and startups. He specializes in the intersection of generative AI and recommender systems—LLM-driven recommender architectures, retrieval scaling, sequential and graph-based recommendations—and has productionized ranking, retrieval and training-optimization solutions for search, feed and communities. At Meta he drove core ML for Marketplace Search, Groups and Home while publishing research at KDD on media search and query/document understanding, reflecting a strong research-to-production track record. Previously he helped shape NLU and retrieval at a pre-Series A Passage AI (acquired by ServiceNow), and at LinkedIn rewrote Job Recommendations and filed 13 patents on recommendation tech. Based in Mountain View, Kaushik blends deep systems thinking with hands-on engineering across retrieval, scoring and large-scale training pipelines—an engineer who routinely mentors teams and turns research insights into production impact.
11 years of coding experience
9 years of employment as a software developer
Bachelor of Technology, Bachelor of Technology at Maulana Azad National Institute of Technology
Master of Science, Master of Science at Georgia Institute of Technology
High School, High School at DAV Senior Secondary School, Mogappair
Non Degree Option, Non Degree Option at Stanford University
English, Tamil, Hindi