Gaurav Dadlaney is a systems-focused software engineer and graduate researcher who builds and scales high-throughput distributed systems, with 8 years of experience including 5.5 years at PhonePe where he architected data platforms and real-time analytics handling billions of messages per hour and millions of transactions. Now at Georgia Tech’s Systems for AI Lab and the Center for Urban Resilience & Analytics, he applies systems thinking to Federated Learning and LLM fine-tuning, achieving multi-fold speedups in convergence and training time across 100+ clients. He combines production-grade backend expertise (Kafka, HBase, Elasticsearch, Aerospike, MariaDB) with research-driven optimizations—designing profilers and buffered aggregation techniques that cut experiment analysis from 30 minutes to 2.
Notably, he leverages LLMs as force-multipliers for engineering productivity and has practical experience taking services from 0 to 1 and scaling them from thousands to millions of daily transactions. Located in Atlanta, he blends fintech-grade reliability work with cutting-edge ML systems research.
8 years of coding experience
5 years of employment as a software developer
Masters Computer Science, Masters Computer Science at Georgia Institute of Technology
Bachelor of Engineering Information Technology, Bachelor of Engineering Information Technology at Pune Institute of Computer Technology
HSC, HSC at Loyola High School & Junior College Pune
Contributions:3 pushes, 1 branch in 1 year 5 months
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