Experience
2016 — Now
Sunnyvale, CA
April 2026 - Present
Google Cloud- Applied AI
Back to Google Cloud.
Nov 2021 - March 2026
Private Compute-
Advanced the intersection of distributed systems, AI, and Confidential Computing to deliver privacy-preserving AI infrastructure at scale.
Trusted servers for Private Advertising Technology-
Architected secure and privacy-centric Bidding & Auction services utilizing Trusted Execution Environments (TEEs) and secure sandboxes to ensure high-integrity bidding inference and auction execution.
As the founding member and engineering leader, scaled engineering overseeing hiring and team structure from inception. Developed a high-performing engineering culture by mentoring senior talent and successfully transitioning them into the next generation of team leaders.
Published 7 whitepapers - https://github.com/privacysandbox/protected-auction-services-docs
Aug 2018 - Nov 2021
Google Cloud- Google Compute Engine (GCE)
VM management, VPC network modeling for zone capacity management, Security (Sovereign Cloud)
Feb 2016 - Aug 2018
Google Ads
2013 — 2016
2013 — 2016
Redwood City, California
AdTech- Demand Side Platform (DSP) and Data Management Platform (DMP)
Ad Serving Infrastructure:
• Ad-exchange integration for advertising on Mobile.
• Real time bidding diagnosis platform.
• Geo fence restriction for targeting.
Mobile Ads Data Infrastructure:
• Geo audience targeting and cross device clustering.
• Data pipeline migration to Hadoop2.
• Disaster Recovery of all data pipelines for Mobile Ads.
(Tech acquired by "Amazon Ads")
2011 — 2013
2011 — 2013
Hyderabad Area, India
Azure
Education
National Institute of Technology Durgapur