Accelerative Synthetic Data Generation
Intelligent diffusion-based filtering to detect and remove inauthentic synthetic videos 9× faster, optimizing workflows for scarce datasets with early exit diffusion pipelines.
View Project →Hi, I'm
PhD Candidate in Computer Science
Pioneering techniques in world foundation models and Vision-Language-Action systems to tackle data scarcity in robotics. Building autonomous systems that make real-world impact—from precision agriculture to wildlife conservation.
Pioneering work in world foundation models, Vision-Language-Action systems, and robotics—from synthetic data generation to autonomous field deployments.
Intelligent diffusion-based filtering to detect and remove inauthentic synthetic videos 9× faster, optimizing workflows for scarce datasets with early exit diffusion pipelines.
View Project →Photorealistic NVIDIA Omniverse simulation with generative animal behaviors, herd dynamics, and drone testing for ecological research—reducing field deployment costs.
View Project →Augmented real-world video datasets for Vision-Language-Action training, addressing data scarcity with minimal trajectories for efficient robotic policy learning.
View Project →I'm always interested in discussing research collaborations, speaking opportunities, or consulting on AI and robotics projects. Best way to reach me is through Email or LinkedIn.