Summary
Eli Byrd is a Senior Software Engineer with 5 years of hands-on experience building mission-critical autonomy and simulation software for competitive and field robotics. He architects and implements high-fidelity sensor simulation in Unreal Engine 5—stereoscopic vision, point cloud generation, and depth maps—integrated directly with on-rover autonomy stacks across AMD64 and ARM64 NVIDIA GPU environments. Eli blends low-level C++ and embedded systems experience with Python, TensorFlow, and Docker-based CI to deliver reliable, testable systems that run without the luxury of a “restart the server.” He has led small engineering teams through design, code review, and cross-discipline integration, helping his rover place 4th globally at the University Rover Challenge. Beyond robotics, he brings precise attention to data quality from annotation work and real-world live-audio technical leadership, showing adaptability across distributed software and high-pressure operational roles. Colleagues rely on him for pragmatic architecture that prioritizes reliability in constrained, real-world deployments.
5 years of coding experience
3 years of employment as a software developer
High School Diploma, High School Diploma at Little Rock Central High School
Bachelor of Science - BS, Computer Science, Bachelor of Science - BS, Computer Science at Missouri University of Science and Technology
Certificate in Swift Coding, Computer Science, 4.00, Certificate in Swift Coding, Computer Science, 4.00 at Arkansas State University