Summary
Mayank Kedia is a software engineer with 11 years of experience building data-driven systems and products, currently contributing to Shopping Ads at Google from San Francisco. Trained in physics (IIT Kharagpur) and analytics (University of San Francisco), he blends strong quantitative thinking with practical engineering to ship production services at scale. His background spans full-stack and data work—ranging from Java-based healthcare and low-bandwidth sync systems in India to machine learning and time-series projects during internships at Airbnb and Sunrun. He has co-founded a startup and led small teams, giving him product sense and operational experience alongside hands-on coding. Known for a “you can just do things” engineering mindset, he favors pragmatic, scrappy solutions that work in constrained environments. Outside big tech, he’s built real-time visualizations and tooling (e.g., an election-tracking web app) that reveal a taste for impactful, user-focused data products.
11 years of coding experience
6 years of employment as a software developer
MS, Analytics, MS, Analytics at University of San Francisco
Lokhandwala Foundation School
Integrated MSc, Physics, Integrated MSc, Physics at IIT Kharagpur
Hindi, Tamil, English, Marathi