Suryadev Rajesh is a software engineer with 11 years of experience building high-performance systems, currently focused on AI model inference evaluation and debugging at Meta. He has a strong background in databases and large-scale infrastructure—improving GPU inference tooling performance by 2.5x and accelerating a Presto SQL function 15x—alongside production experience at PayPal handling ~7 trillion messages per day. His graduate research produced practical HTAP integrations and fused-operator optimizations that cut query times by up to 35% and contributed to a CIDR 2022 paper. Based in the San Francisco Bay Area, he blends systems research with production engineering to solve foundational performance bottlenecks and make complex workloads more debuggable and efficient.
11 years of coding experience
4 years of employment as a software developer
Master of Science - MS, Computer Sciences, Master of Science - MS, Computer Sciences at University of Wisconsin-Madison
Bachelor of Engineering (B.E.), Computer Science and Engineering, 9.61/10, Bachelor of Engineering (B.E.), Computer Science and Engineering, 9.61/10 at College of Engineering, Guindy
Contributions:73 pushes, 1 branch in 5 years 5 months
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