Experience

Cavalier Autonomous Racing

• United States
• Research
• 1 - 100 Employee

• Lead Perception Engineer

  • Jan 2022 - Present

  Charlottesville, Virginia, United States • Lead the design, development, and deployment of the perception stack for a fully-autonomous racecar capable of driving up to 180 mph • Trained a LiDAR-based 3D object detection network to detect opponent vehicles on track • Performed sensor fusion using an Extended Kalman Filter to provide accurate ego-vehicle localization



University of Virginia

• United States
• Higher Education
• 700 & Above Employee

• Machine Learning Head Teaching Assistant

  • Aug 2022 - Present

  Charlottesville, Virginia, United States • Reinforce students' understanding of machine learning and artificial intelligence • Mentor students throughout a semester-long project with the goal of using machine learning to benefit the Commonwealth of Virginia



ENSCO, Inc.

• United States
• Defense and Space Manufacturing
• 400 - 500 Employee

• Research Intern

  • May 2023 - Aug 2023

  Springfield, Virginia, United States • Designed and deployed a LiDAR processing algorithm to survey the topography of railroad crossings • Built a LiDAR calibration library using scan matching and Bayesian optimization to synchronize multiple sensors



Solar Car Team at UVA

• United States
• Motor Vehicle Manufacturing
• 1 - 100 Employee

• Lead Embedded System Engineer

  • Aug 2019 - Jul 2022

  Charlottesville, Virginia, United States • Coordinated PCB and RTOS design of the embedded architecture powering a full-scale, solar-powered racecar • Helped lead the team to compete in its first race in over 20 years



Leidos

• United States
• IT Services and IT Consulting
• 700 & Above Employee

• Autonomous Systems Engineering Intern

  • Jun 2021 - Aug 2021

  Arlington, Virginia, United States • Created a software development suite in Java to support communication within a fleet of autonomous mobile robots • Developed an automated setup platform for hardware-in-the-loop simulation across a network of edge devices