Alexander Styler is a technical lead based in Pittsburgh with 11 years of experience building autonomy, robotics, and ML systems for real-time prediction and motion planning. He currently leads Motion Planning and autonomy architecture at Aurora after directing prediction teams at Uber ATG and developing EV optimization and robotics interfaces during a long Carnegie Mellon tenure. His work spans research-grade algorithms to production deployments, including duty prediction, online optimization for hybrid/electric vehicles, and user-facing control software for robotics education. He also improved engineering reliability by creating a library to automate unit testing of database stored procedures and contributed stored procedures for quantitative research. Comfortable bridging academia and industry, he pairs a PhD in Robotics with hands-on leadership shipping safety-critical systems. An underappreciated strength is turning theory into practical tooling that measurably raises team efficiency and verification rigor.
11 years of coding experience
10 years of employment as a software developer
PhD, Robotics, PhD, Robotics at Carnegie Mellon University
Contributions:16 pushes, 1 branch in 2 years 9 months
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