Rahul Mahadev is a Senior Software Engineer in San Francisco with 12 years of experience designing and shipping distributed systems, databases, and analytics platforms. Currently at Databricks, he helped build Delta Lake and is driving next-generation Liquid Clustering for large-scale data management. His background blends academic research—scaling HoneybadgerMPC to 200 geo-replicated EC2 nodes and contributing a confidentiality layer for Hyperledger Fabric—with production wins like a distributed runtime filter aggregation for Apache Impala that dramatically reduced memory use. Comfortable across systems from kernel-level TEE work to cloud-native data services, he brings a rare combination of low-level systems expertise and data-platform engineering. Originally from Bangalore, he combines rigorous research instincts with pragmatic, outcome-focused engineering.
12 years of coding experience
10 years of employment as a software developer
Bachelor of Engineering (B.E.), Information Technology, Bachelor of Engineering (B.E.), Information Technology at PES University
Bishop Cotton Boys' School
Master of Science - MS, Computer Science, Master of Science - MS, Computer Science at University of Illinois Urbana-Champaign
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Contributions:6 commits, 2 PRs, 4 pushes in 1 year 11 months
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