Arpan Agrawal is a software engineer with 9 years of experience specializing in database internals and performance engineering, currently contributing to Yugabyte from Bengaluru. An IIT Kanpur computer science graduate, he previously worked at Microsoft as a Research Fellow optimizing query execution with SIMD intrinsics and at LinkedIn where he built TuneIn, a framework for auto-tuning Hadoop and Spark jobs that earned spots at major industry conferences. His background spans distributed systems, query/vectorization optimizations, and privacy/GDPR-related engineering, giving him both research rigor and production-grade delivery. Known for turning low-level performance insights into scalable features, he combines systems-level thinking with a history of shipping impactful tooling across enterprise and cloud-native stacks.
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