- Staff Software Engineer, Planning (2021 - Present)
I am currently at Waymo, working to make driving safer, smoother, and smarter with machine learning.
- Tech Lead Manager / Staff Software Engineer, Motion Planning (2020 - 2021)
- Tech Lead, Motion Planning (2019 - 2020)
- Software Engineer, Planning (2018 - 2019)
- Promoted from PhD new grad to Staff Engineer in 2 years
- Recognized in Business Insider’s 2021 list of “Rising stars in autonomous vehicles”
At Nuro, I led the team responsible for conceptualization, validation, and deployment of new features and architectures for decision making, trajectory optimization, and simulated agent behavior. I set technical direction and ensured cross-functional alignment to scale up the team and achieve major milestones.
Our team’s work helped demonstrate our robot, R2’s, ability to operate autonomously without a driver nor an operator in a chase-car in Arizona, California, and Texas.
X, the moonshot factory
- Software Engineering Intern, Self-Driving Car Project (2016)
At X, I worked on the planning team to develop numerical optimization algorithms and C++ software for a self-driving passenger car. The initiative later spun out into Waymo, an independent Alphabet subsidiary.
- Received John A. Goff Award, the highest academic award for UPenn PhD students in MechE chosen on “scholarship, resourcefulness, and leadership”
- Received Outstanding Teaching Assistant award, chosen on “initiative, reliability, commitment to the students, and overall contribution to the teaching mission”
- Received National Science Foundation Graduate Research Fellowship (NSF GRFP)
My research spanned the intersecting areas of trajectory optimization, controls, and multi-robot cooperation, focusing on two themes:
- Planning fast, agile, dynamic maneuvers while maintaining safety properties
- Experimental validation on real robot platforms
My dissertation, “Control, planning, and coordination for dynamic aerial manipulation with robot teams”, is available here.