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Saeejith Nair

First name sounds like "sigh-jith."

PhD student in Systems Design Engineering at the University of Waterloo's Vision and Image Processing Lab, advised by Alexander Wong and Yuhao Chen, supported by an NSERC CGS-D. Research at the intersection of efficient ML (neural architecture search for NeRFs and vision transformers), embedded systems (on-device latency prediction), and robotics (simulation pipelines for synthetic data, embodied morphologies, dexterous manipulation). Interested in building embodied systems that can efficiently learn to interact with the world in an open-ended manner.

Currently building Papiers; the complete inventory lives in projects.

Email · GitHub · Twitter · LinkedIn · Google Scholar

Publications

Previously

Nuro (hardware acceleration, DSP, comms infrastructure — two internships) · BRAIN Lab, UWaterloo (robotic grasping simulation) · Arcturus Networks (embedded video analytics) · Curtiss-Wright (U-Boot firmware) · DRDC (scheduling optimization) · NXP (DMA simulation for vision processors) · Home Depot (React component library)


2026-07-17 (from https://saeejithnair.github.io/): initial import — minimalist markdown mirror of the public homepage.

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