Summary
Sanket Gupta is a Staff Machine Learning Engineer based in New York with 10 years of experience building large-scale, production ML systems across personalization, recommendation, and monetization. At Meta he focuses on sequential signals and ranking models that drive high-impact business outcomes, after leading calibration, embedding, and ranking efforts at Spotify that produced measurable metric gains and $2.1M in annual savings via transfer learning. He combines hands-on MLOps and model deployment expertise (Docker/Kubernetes, Spark, TensorFlow, GCP/AWS) with a strong experimental mindset—instrumenting offline/online correlation, off-policy evaluation and multi-stakeholder optimization. Earlier roles in data science and analog engineering give him a rare blend of systems thinking, signal-level insight, and practical hardware-aware intuition. He holds an MS in Electrical Engineering from Columbia and has repeatedly turned research-grade models into scalable production services.
10 years of coding experience
12 years of employment as a software developer
Rajiv Gandhi Proudyogiki Vishwavidyalaya
English, Hindi