Angad Singh is a Staff Software Engineer with 14 years of deep experience building low-latency, high-throughput distributed systems for mobile ads and telco domains, now driving AutoML platform development for Meta’s Ad Ranking models. He has architected user profile stores and segmentation engines that process tens to hundreds of billions of events daily with p99 latencies under 10ms, and led multi-pod backend and MLOps roadmaps at InMobi for carrier-delivered apps. Comfortable across the full stack of streaming, storage, and ML infra, he specializes in creating reusable abstractions over bounded and unbounded data streams to reduce engineering toil. His work at TruFactor and InMobi shows an uncommon combination of real-time telco DMP scale (100+ TB / 200B events daily) with privacy-aware data monetization and AI featureization. Based in Toronto, he blends hands-on system design with strategic technical leadership for teams of 20+ engineers and a track record of turning raw network signals into application-ready consumer intelligence.
11 years of coding experience
14 years of employment as a software developer
B.Tech Information Technology, B.Tech Information Technology at Jaypee Institute of Information Technology University
Contributions:27 commits, 23 pushes, 1 branch in 11 months
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