About
About
Research scientist at NVIDIA and part-time PhD student at New York University.
I am a Research Scientist at NVIDIA, where I work on AI safety and post-training. I am also pursuing a part-time PhD at New York University.
Research interests
- AI safety and post-training
- Perception and planning for robots in manufacturing and assembly
- Computer vision and multimodal learning
- Industrial AI systems and defect detection
Background
At New York University, I completed an M.S. in Robotics and Mechatronics, worked on medical robotics research, and served as a teaching assistant in senior design. I am currently a 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. At Nanotronics, I was the Lead AI Engineer working on computer vision solutions for detecting micron-scale defects, multimodal systems to reduce errors in assembly and manufacturing applications, and the development of Nanotronics’ Gen V AI models, which were covered by Business Wire, Private Shares Fund, and Silicon Semiconductor. At Meta, I worked on recommendation systems evaluation and later on LLM safety. Those experiences continue to shape how I think about reliability, deployment constraints, and what it takes to make machine learning useful in the real world.
Elsewhere
You can find me on LinkedIn, GitHub, and Weights & Biases.