Autonomous Wildfire Detection
A drone network that finds wildfires before they spread. Deep computer vision, coverage-path planning, and deep RL in one pipeline.
Validated by CalFire, USFS & NASA
I build systems that perceive, reason, and act, from autonomous drones to agentic search.
A drone network that finds wildfires before they spread. Deep computer vision, coverage-path planning, and deep RL in one pipeline.
Validated by CalFire, USFS & NASA
A platform that teaches AI by letting students build it. Live Python, a code to blocks compiler, and an AI tutor.
Piloted with 20+ students
A reward model for UI design. LLM judges score rendered screenshots across critique loops, yielding a failure taxonomy for fine-tuning.
Benchmarking and evaluating novel RL policies on an open-source dexterous robotic hand.
As a research assistant in Penn's Perception, Action & Learning group, I've worked on world-model architectures and RL policy evals for dextrous manipulation. Currently, I'm working on planning, reasoning, and guidance on VLAs as well as RL for flow and diffusion policies.
Nov 2025 – PresentI'm an engineer and researcher at the intersection of AI and robotics. I like building systems that touch the real world, and I think best at the boundary between research and shipping. Penn M&T (AI, CS, and Finance)
Open to robotics & ML engineering roles. I'm happiest when I'm building things that matter!