Preetum Nakkiran is a Senior Research Scientist based in Berkeley with 15 years of experience at the intersection of machine learning research and production systems. He holds a PhD in Computer Science from Harvard and a BS in EECS from UC Berkeley, and has worked on applied deep learning problems at Google and now Apple. His early work on noise-robust, memory-efficient keyword spotting for speech led to peer-reviewed publications, reflecting a practical focus on deploying compact models. Known for bridging rigorous research with engineering constraints, he builds solutions that are both theoretically informed and production-ready. An experienced intern-to-research-scientist trajectory hints at a knack for turning exploratory ideas into impactful, shipped systems.
15 years of coding experience
Bachelor of Science (BS) Electrical Engineering and Computer Science, Bachelor of Science (BS) Electrical Engineering and Computer Science at University of California, Berkeley
Redmond High School
Doctor of Philosophy Computer Science, Doctor of Philosophy Computer Science at Harvard University
relplot: Utilities for measuring calibration and plotting reliability diagrams
Contributions:1 PR, 5 pushes in 8 months
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Preetum Nakkiran - Senior Research Scientist at Apple