Shaurya Gupta is a Staff Software Engineer based in Seattle with a decade-plus career building large-scale data and ML platforms at Amazon and Google. He has deep expertise in big data engineering and production ML infrastructure—leading a 15+ engineer team to deliver a sub-50 ms tp99.9 forecasting service at 15K TPS and now scaling Cloud TPU training to thousands of accelerators. Proficient in Python, Java and distributed systems, he has designed extensible abstractions for data workflows and powered feature pipelines that generated millions of features for models used company-wide. He combines hands-on engineering with technical leadership, optimizing both developer velocity and operational SLAs—a pattern seen from Hadoop-based pipelines to low-latency online inference. Notably, his work spans from shrinking batch SLAs during peak loads to enabling high-throughput, low-latency ML serving at cloud scale.
2 years of coding experience
12 years of employment as a software developer
BE Computer Science, BE Computer Science at Netaji Subhas Institute of Technology
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