Hi there! I'm currently at Cofactor AI, where I build machine learning architectures that help hospitals capture value lost through clinical documentation gaps, coding inefficiencies, and denied or underpaid claims.

I recently graduated from Princeton University, where I earned a degree in Electrical and Computer Engineering with a concentration in Robotics & Cyber-Physical Systems. My technical interests span legged and underwater robotics, multi-agent systems, machine learning, and embedded systems.

My long-term goal is to build multi-agent systems that can robustly interact in both physical and virtual environments. In the meantime, I'm focused on deepening my expertise by collaboratively solving challenging, real-world problems across AI, robotics, and systems—feel free to reach out via LinkedIn if you'd like to connect.

Outside of work, I enjoy playing soccer, working out, mentoring and tutoring students, playing board games, and spending time in nature.

Aug 2021 - May 2025

Princeton University

Bachelor of Science in Engineering in Electrical and Computer Engineering

Honors & Awards
  • Charlotte Mangum Student Support Program, Departmental Excellence in Engineering Funding, Undergraduate Fund for Academic Conferences: Awarded in total $1200 to present my research
  • Princeton Pathways to Graduate School Program: Selected from a competitive pool into the 2024 cohort
  • National Society of Black Engineers Conference Invitation: Granted free travel and accommodation by the Computer Science and Mechanical and Aerospace Engineering Departments to attend the NSBE conference in Kansas City, MO 2023