Robik Shrestha is an applied scientist with 13 years of experience, currently advancing Nova foundation models at Amazon AGI with a focus on multimodal understanding, visual grounding, document understanding, and agentic AI. He holds a PhD in Imaging Science and built a research portfolio demonstrating how apparently accurate vision and vision+language systems can fail for the wrong reasons, then proposing simpler, more robust alternatives. His industry work spans prototyping generative AI for scientific simulation, fairness-focused retrieval-augmented generation at AWS, and practical deployments improving bias resilience, calibration, and OOD detection. Based in Seattle, he blends deep research in causality, interpretability, and bias/fairness with hands-on engineering across full-stack and ML systems — a combination that drives trustworthy, production-ready large-scale AI.
13 years of coding experience
11 years of employment as a software developer
PhD, Imaging Science, PhD, Imaging Science at Rochester Institute of Technology
Contributions:41 commits, 3 pushes, 5 comments in 1 year 2 months
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Robik Shrestha - Applied Scientist II At Amazon AGI