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
13 years of employment as a software developer
Master of Science (MS) Electrical Engineering, Master of Science (MS) Electrical Engineering at Columbia University
Bachelor of Engineering (B.E.) Electrical and Electronics Engineering, Bachelor of Engineering (B.E.) Electrical and Electronics Engineering at Nanyang Technological University Singapore
Hindi, English