Summary
Rishabh Agrawal is a Senior Machine Learning Engineer with 9 years of experience building production ML systems that bridge cutting-edge research and user-facing products. He spent 4+ years at Google developing image and text generation solutions for shopping experiences and recently joined Meta to continue scaling LLM- and DL-driven systems. Earlier roles at Samsung and Uber sharpened his skills in large-scale recommender systems, graph embeddings, and fraud-detection pipelines, while an MS in Computer Science (Data Science) from UMass Amherst underpins his quantitative approach. Rishabh has a strong track record of turning weak supervision and statistical methods into robust, feedback-driven pipelines for real-world extraction and personalization problems. He thrives on deep-diving into code and models, often reframing problems (e.g., look-alike modeling as recommendation) to unlock practical gains. Based in Sunnyvale, he blends research fluency with hands-on engineering to deliver scalable ML that directly impacts product metrics.
9 years of coding experience
7 years of employment as a software developer
Master of Science - MS, Computer Science, 4.0/4.0, Master of Science - MS, Computer Science, 4.0/4.0 at University of Massachusetts Amherst
Bachelor of Technology - BTech, Computer Science, Bachelor of Technology - BTech, Computer Science at Indian Institute of Technology, Kharagpur
English, Hindi