About

I’m pursuing a Master of Quantum Science and Technology at UCLA. My current work focuses on deep learning and generative modeling for scientific inverse problems, especially ultrafast pulse retrieval using learned priors and flow matching. More broadly, I’m interested in building AI systems and applying them to scientific problems. Previously, I worked on legal AI at Regology, analytics infrastructure at PrashantAdvait Foundation, and distributed machine learning at KAUST.