I’m a technical lead at Waymo, where I lead work to adapt frontier models and build AI agents for safety-critical evaluation. I work across machine learning, data science, distributed systems, and software engineering to build scalable feedback systems that adapt rapidly to new needs, operate at production scale, and meet exacting statistical standards. Earlier at Waymo, I led a major evolution of the production motion-planning system, introducing its first major use of high-capacity machine-learning models.

Previously, I joined Berkshire Grey as its 14th employee and personally built the proof of concept for what became a facility-scale warehouse-automation system. As a Director of Engineering, I grew and led an interdisciplinary team spanning mobile robots, robotic arms, high-availability software, systems integration, functional safety, and regulatory compliance. Together, we took the system from pilot to production for a Fortune 50 customer. The experience taught me to design resilient architectures, empower interdisciplinary teams, and remain accountable for customer outcomes.

I earned my PhD from the Robotics Institute at Carnegie Mellon University, where I researched decision-making under uncertainty for robot manipulation. I collaborated with the Robonaut group at Johnson Space Center as a NASA Space Technology Research Fellow.