Varad Pathak is a research scientist in Menlo Park with 13 years of experience applying machine learning and data-driven methods to large-scale recommendation systems. He has led and shipped recommender teams and research at Tinder, refined multi-stakeholder recommendation models at Twitter’s Cortex Applied Research group, and now drives applied ML research at Netflix. His background blends an MS in Computer Science from USC with early engineering across banking, logistics and e-commerce, giving him a practical grounding in production data pipelines and scalable model deployment. Known for turning research insights into product-facing systems, he focuses on recommendation tradeoffs and stakeholder-aware objectives—an area he has repeatedly operationalized at scale.
13 years of coding experience
11 years of employment as a software developer
Master of Science (M.S.), Computer Science, Master of Science (M.S.), Computer Science at University of Southern California
B.E., Electronics and Tele-Communication Engineering, B.E., Electronics and Tele-Communication Engineering at Government College of Engineering Aurangabad
Find and Hire Top DevelopersWe’ve analyzed the programming source code of over 60 million software developers on GitHub and scored them by 50,000 skills. Sign-up on Prog,AI to search for software developers.