Siddesh Shinde is a distributed systems engineer with 8 years of experience building scalable, resilient infrastructure and optimizing performance for production systems. He has progressed through multiple technical roles at Cohesity and now works on Ads ML serving infrastructure at Meta, bringing deep operational experience in stateful distributed services. His background spans low-level firmware and embedded systems at Qualcomm and Marvell to high-scale cloud services, giving him a rare full-stack perspective on performance bottlenecks from silicon to service. Siddesh holds a MS in Computer Science from Stony Brook and has applied algorithmic and OS knowledge as a teaching assistant, reflecting strong theoretical foundations behind his pragmatic engineering. He is based in San Jose and consistently focuses on making systems both efficient and robust under real-world constraints. A pragmatic problem-solver, he often bridges hardware-software gaps that others overlook when tuning system throughput and latency.
8 years of coding experience
9 years of employment as a software developer
Bachelor's Degree Electronics and Telecommunication Engineering, Bachelor's Degree Electronics and Telecommunication Engineering at Pune Institute of Computer Technology
Master's degree Computer Science, Master's degree Computer Science at Stony Brook University
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