Gabriele Oliaro is a research scientist and 4th-year PhD student in Computer Science at Carnegie Mellon University, specializing in machine learning systems and high-performance inference. Currently at Snowflake, he built SuffixDecoding (NeurIPS '25 Spotlight) to accelerate agentic inference workloads by 5.3x and co-authored a pending US patent, demonstrating an unusual blend of research impact and production-focused systems engineering. His background includes systems and networking research at Harvard, Berkeley RISE Lab, and work on telemetry and serverless systems that informed practical open-source contributions. Gabriele holds advanced degrees from CMU, Tsinghua, and a high-honors BS from Harvard, and brings hands-on systems engineering experience from startups and research labs to bridge ML research with deployable infrastructure.
2 years of coding experience
3 years of employment as a software developer
Master of Science - MS, Advanced Computing, Master of Science - MS, Advanced Computing at Tsinghua University
Exchange Student, 4.0/4.0, Exchange Student, 4.0/4.0 at Vashon Island High School
Doctor of Philosophy - PhD, Computer Science, Doctor of Philosophy - PhD, Computer Science at Carnegie Mellon University
High School Diploma, MaturitĂ classica, 100/100, High School Diploma, MaturitĂ classica, 100/100 at Istituto Leone XIII
Bachelor of Science - BS, Electrical Engineering, High Honors, Bachelor of Science - BS, Electrical Engineering, High Honors at Harvard University
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