Building intelligent systems that operate at the edge — autonomous UAV swarms, CV-based collision avoidance, and electronic warfare analysis. Researcher, engineer, and sole patent inventor.
I'm a PhD student at George Washington University working at the intersection of AI, autonomous systems, and security. What's unusual about my profile isn't any single domain — it's that I operate across all three simultaneously, with hardware in hand and a clearance in pocket.
I've built drone autonomy systems from the ground up (with an FAA Part 107 certificate to fly them), analyzed binary vulnerabilities for defense applications, and hold a patent as sole inventor in autonomous vehicle navigation — before finishing my undergraduate degree. That range isn't incidental. It's the point.
PhD work at the intersection of multi-agent reinforcement learning, computer vision, and autonomous aerial systems.
Developing MARL frameworks for coordinating UAV swarms in contested urban airspace. Research spans Graph MARL architectures enabling emergent collision avoidance without centralized control.
CV-based perception pipeline: real-time depth estimation and object detection for onboard collision avoidance under the compute constraints of small UAV platforms.
Applying graph neural networks and optimization to modernize aging electric grid infrastructure. Time-series modeling for energy demand forecasting; structural analysis to identify resilience gaps.
A patent issued as sole inventor before finishing an undergraduate degree.
Ongoing work in multi-agent learning, autonomous systems, and computer vision. Updated as manuscripts progress.
Research paired with hands-on engineering across defense, aerospace, and academia.
Open to research collaborations, advising conversations, and industry inquiries in autonomous systems, AI security, and related fields.