I'm a Machine Learning Researcher at Apple, where I work on post-training large language models for alignment, reasoning, and open-domain question-answering.
My work centers on Reinforcement Learning to align models with human reasoning making them grounded, factual, trustworthy, and generalizable.
Previously, I was a Research Scientist at IBM Research in the Brain Inspired Computing Group, where I developed novel algorithms for training low-precision neural networks for efficient inference at the frontier of energy, space, and time.
When I'm not doing research, I love being outdoors city walks, nature hikes, bike rides, or discovering new matcha and coffee spots.