Systems for AI Lab Georgia Tech

I earned my M.S. in Computer Science from Georgia Tech in May 2026. My research at SAIL focused on federated learning, distributed training optimization, and efficient inference for large-scale machine learning systems. I will be joining Google in July 2026.

I am passionate about building fault-tolerant data platforms and scalable infrastructure for real-world AI applications. Prior to graduate school, I worked as a Senior Software Engineer at PhonePe, where I designed and scaled high-throughput distributed systems. My work included building a strongly consistent schema registry, improving an OLAP datastore, and scaling the event ingestion gateway to process over 1.6 million messages per second.

Search for Gaurav Dadlaney's papers on the Research page