Summary
Chinmay Chiplunkar is a Distributed Systems Engineer with seven years of experience building fault-tolerant, high-performance database internals and storage engines. Currently on Oracle’s Globally Distributed Autonomous Database team, he’s implementing a native Raft consensus layer and novel global backup/restore workflows that synchronize shards via streamed acknowledged-but-unapplied transactions. His prior work includes reducing block device write tail latency by 90% on AWS Aurora, co-designing Postgres-compatible table-level locks at YugabyteDB, and architecting chaos testing and zero-downtime migrations across 100k+ servers. He holds an MS in Computer Science from Georgia Tech and has a research background optimizing parallel graph analytics for NVRAM, reflecting a strong blend of systems research and production engineering. Notably, he restructured Raft I/O to enable seamless archived-log replay for lagging followers, a practical improvement that drove measurable replication throughput gains.
7 years of coding experience
2 years of employment as a software developer
BITS Pilani, Birla Institute of Technology and Science
Master of Science - MS Computer Science, Master of Science - MS Computer Science at Georgia Institute of Technology
English, Marathi, Hindi, German