Now
NVIDIA
Senior Research Scientist working on AI safety and post-training.
I work on AI safety and post-training at NVIDIA, and my broader research interests span robotics, perception, and machine learning through ongoing work at New York University.
Computer vision shaped how I think about AI, and much of my work comes back to a simple question: what do models actually perceive, and how can that understanding extend across the many dimensions real problems contain?
Research interests
- LLM post-training and safety
- Perception and planning for robots in manufacturing and assembly
- Computer vision, multimodal learning, and industrial AI systems
Experience
Ongoing
New York University
Part-time PhD researcher in the AI4CE Lab, advised by Dr. Chen Feng, focused on improving perception and planning for robots in complex manufacturing and assembly environments.
Previously
Meta Platforms
Senior Research Engineer working on LLM safety as part of Meta Superintelligence Labs, and earlier on evaluation of graph-based recommendation systems and reasoning models within Meta Recommendations Systems.
Amazon Robotics
MLE / SDE II on the Perception team for Vulcan Stow.
Nanotronics
Lead AI Engineer working on computer vision and multimodal systems for industrial AI. I led development of Nanotronics' Gen V AI models, which were covered by Business Wire, Private Shares Fund, and Silicon Semiconductor. I also worked on improving computer vision solutions for detecting micron-scale defects and multimodal systems aimed at reducing errors in assembly and manufacturing. See patents and publications for more.
Earlier
New York University
M.S. in Robotics and Mechatronics, with medical robotics research and teaching support in senior design.
Patents & Publications
Selected patents, patent applications, and publications in industrial AI, inspection, and manufacturing systems.