Summary
Rishikesh Ghewari is a Senior Machine Learning Engineer with 13 years of experience building production ML systems for AdTech and recommendation platforms, currently leading user response prediction and lookalike audience efforts at Samsung Ads in Sunnyvale. He combines engineering rigor in Python, Scala and Spark with deep learning tools like TensorFlow and Keras to deliver real-time bidding models, embedding-based user representations, and scalable training/inference pipelines. His work spans the full data lifecycle—feature engineering, EMR cluster management, Airflow orchestration, and monitoring—driving measurable gains such as dramatic TV feature processing speedups (8 hours to 15 minutes) and noise reduction in merchant data. Notably, he has implemented device-graph modeling and parallelized TensorFlow inference with Spark for million-scale user-app embeddings, reflecting a knack for bridging research ideas and production constraints. He holds a MS in Computer Science from UC San Diego and a BS from IIT Guwahati, and is drawn to problems at the intersection of recommender systems, deep learning and NLP.
13 years of coding experience
7 years of employment as a software developer
University of California, San Diego
Bachelor’s Degree Computer Science, Bachelor’s Degree Computer Science at Indian Institute of Technology, Guwahati
English, Hindi, Marathi