Mohammadreza Beyki is a Senior Software Engineer with 11 years of experience designing and operating large-scale distributed systems where performance, reliability, and scalability matter equally. He has built and optimized high-throughput CDN, DNS, and S3-compatible storage platforms—reducing P99.9 latencies from minutes to seconds and eliminating production instability at scale—using modern C++ in production Linux environments. His recent work includes owning core distributed query and retrieval paths for multi-million-metric infrastructure at Meta and now driving infrastructure engineering at Tesla, with deep expertise in networking, routing, failover, and multi-tenant control planes. Equally comfortable in hands-on optimization and system design, he focuses on real-world constraints that directly impact user experience and throughput. Based in Mountain View, he blends academic rigor from Virginia Tech with practical engineering honed across startups and hyperscale environments.
11 years of coding experience
10 years of employment as a software developer
Master of Science - MS Computer Science, Master of Science - MS Computer Science at Virginia Tech
Nano Degree in Natural Language Processing Computer Science, Nano Degree in Natural Language Processing Computer Science at Udacity
Bachelor of Science (BS) Computer Engineering, Bachelor of Science (BS) Computer Engineering at University of Tehran
A GPGPU Computing Platform Written in Go, Distributes input to clients via websocket and retrieves the results from them
Contributions:12 commits, 10 pushes, 1 branch in 1 year 1 month
golanggpu-programminggpu-accelerationgpuwebsocket
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