Staff Applied Scientist, Adobe Foundry | Ex-Tech Lead Amazon | Xoogler
I am a Staff Applied Scientist at Adobe Foundry, where I post-train Adobe's family of generative AI foundation models for customer-facing products powering Firefly and creative tooling. My research centers on four threads: post-training (SFT, RLHF/DPO, distillation, test-time training) to align foundation models with creator intent; multi-modal understanding across video, image, and language; world modeling — building models with internal representations of how the physical world behaves; and reasoning — RL and test-time compute for physics and scientific problem solving.
Previously I was a Tech Lead at Amazon, where I drove GenAI Live Action Studio and Amazon Video Search, and a Senior Research SDE at Google Research working on multi-modal generative models. I completed my PhD at UNC-CH under Prof. Ming C. Lin.
ECCV 2024
NIPS 2023 Workshop SSLTheoryPractice
CVPR 2021 (CV4Animal Workshop)
MICCAI 2016
CARS 2012
AI-powered research project manager with pixel-art agent teams (Scout, Theorist, Architect, Coder, and more)
Supporting multimodal dance generation
Developer tools and loaders for the AIST++ dataset
Personal log of learning Reinforcement Learning — notes, experiments, and insights