Nidhin Harilal is an applied scientist and fifth-year PhD candidate at the University of Colorado Boulder with eight years of experience building and interpreting vision models and multimodal systems. Currently on Amazon’s CreST team, he focuses on GenAI and multimodal large language models, bringing a research-first approach to production-scale problems. His background spans self-supervised spatiotemporal methods for climate data at Inria to parameter-efficiency and interpretability work at Samsung Display America, reflecting a blend of theoretical depth and applied impact. A former hackathon organizer and student leader from IIT Gandhinagar, he combines practical mentorship and community-building with fast-moving research—trying to learn deep learning faster than deep learning can learn about him.
8 years of coding experience
5 years of employment as a software developer
B.Tech (with Honours), Computer Science, B.Tech (with Honours), Computer Science at Indian Institute of Technology Gandhinagar
Doctor of Philosophy - PhD, Computer Science, Doctor of Philosophy - PhD, Computer Science at University of Colorado Boulder
Contributions:5 commits, 7 pushes, 1 branch in 1 year 8 months
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