Summary
Sanjib Das is a software engineer with a decade of experience building data-driven systems, currently working on Search Ads Quality at Google in the San Francisco Bay Area. He holds a PhD in Computer Science from the University of Wisconsin–Madison and has deep expertise in data management problems such as entity matching, crowdsourcing, information extraction, and knowledge base construction. His industry internships at Walmart and Apptio translated PhD research into practical gains—e.g., a rule-based product matching tool that improved recall by ~30% with minimal precision loss. Early work at Oracle and USC tackled streaming, syndication, and privacy-aware virtualization, reflecting a strong systems and research-to-production track record. Combining academic rigor with hands-on engineering, he focuses on scalable, high-accuracy solutions for messy real-world data.
10 years of coding experience
Doctor of Philosophy (PhD), Computer Science, Doctor of Philosophy (PhD), Computer Science at University of Wisconsin-Madison
Bachelor of Technology (B.Tech.), Computer Science, Bachelor of Technology (B.Tech.), Computer Science at Indian Institute of Technology, Kharagpur
English, Bengali, Hindi