Ankur & Mari Sahu Assistant Professor Of Computer Science at Tufts University
Medford, Massachusetts, United States
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Summary
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Raja Sambasivan is an assistant professor of computer science at Tufts with 12 years of systems and networking research experience focused on cloud computing, large distributed-system diagnosis, end-to-end tracing, storage, and inter-domain networking. He developed and validated practical techniques—like request-flow comparison—that were implemented at Google (Dapper) and used to diagnose real production performance problems, and his work appears in top venues including NSDI, SIGMETRICS, FAST, and ATC. Raja blends rigorous academic research with industry impact through consulting and collaborations (e.g., Mass Open Cloud and Huawei) and brings hands-on systems-building experience from projects such as Ursa Minor and NFS performance optimization. Known for combining statistical and ML methods with systems thinking, he specializes in making opaque distributed behaviors observable and actionable.
12 years of coding experience
5 years of employment as a software developer
BS, Electrical & Computer Engineering & Minor in Computer Science, BS, Electrical & Computer Engineering & Minor in Computer Science at Carnegie Mellon University
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