Atharv Ramesh Nair

Graduate student in ECE at UC San Diego and researcher in the Trustworthy Machine Learning Lab (advised by Prof. Lily Weng). Working on interpretability for deep learning models in medical imaging; interested in AI safety, reinforcement learning, LLM post-training, and efficient inference. If you want to reach out to collaborate or discuss anything, please reach out via a3nair@ucsd.edu, X, or LinkedIn. My academic resume is here.

Previously an ML Engineer at Netradyne; B.Tech. in Electrical Engineering from IIT Hyderabad (EE Dept.). I am actively looking for MLE/Research internships in Summer 2026 and beyond.

Experience

Researcher · Trustworthy Machine Learning Lab, UC San Diego

Advised by Prof. Lily Weng · Interpretability for medical imaging

Software Engineer (Machine Learning) · Netradyne

Jun 2024 – Aug 2025 · Bengaluru, India

Education

M.S. Machine Learning and Data Science (ECE) · UC San Diego

Sep 2025 – Present

Bachelor of Technology in Electrical Engineering · IIT Hyderabad

2020 – 2024

Publications

Detection of Disease Features on Retinal OCT Scans Using RETFound.

K. Du, A. R. Nair, S. Shah, A. Gadari, S. C. Vupparaboina, J.-A. Sahel, et al.

Bioengineering, 2024. DOI

Projects

Selected builds in RL, LLM post-training, and interpretable ML.

View projects →