Hi! I m Tejas, a Computer Engineering student at Waterloo and a research engineer at NVIDIA, where I work on post-training: fine-tuning, synthetic data, and agents.
A couple of highlights:
AEVAL (ICML 2026): I led our work on making AI agents stop grading their own homework, so agent testing becomes deterministic.
Data Efficient Fine Tuning: I worked on a loop that finds where a vision model fails and fixes it with targeted real and synthetic data. It matches full-data fine-tuning on a fraction of the data, and it s open source in NVIDIA s TAO skill bank.
