I joined Applied Intuition in July 2022 at their head office in Mountain View, CA, as the second member of the Systems Engineering team. In this role, I collaborate closely with customers and developers to ensure the safe development, testing, and deployment of autonomous mobility solutions, with a particular focus on the off-road domain.

I joined Audi's newly established Automated Driving Development R&D office in San Jose, CA, in April 2020 as one of its first ten employees. As a Senior Development Engineer for ADAS, I focused on systems engineering for SAE Level 2 hands-free and Level 3 driving assist technologies, testing and validating the current Level 2 system to identify corner cases, diagnose root causes, and propose solutions. I also worked on software prototyping and integration, providing rapid feedback to developers on system performance. In addition to these technical responsibilities, I played a key role in building the team at the new office, interviewing over ten candidates and hiring several developers.

Byton was a Chinese-German all-electric vehicle brand founded by former BMW and Nissan executives. I joined their Santa Clara, CA R&D office in January 2018 to contribute to the development of the fully electric M-Byte SUV. As a Technical Lead in Powertrain Systems Analysis, I played a key role in driving the M-Byte’s performance and energy attributes toward SOP targets. My work involved leveraging modeling, simulation, dyno testing, and on-road testing to assess system performance, identify gaps, and implement improvements. Collaborating cross-functionally, I worked with engineering teams across powertrain and chassis to enhance performance, while also engaging with management and marketing teams to provide updates and ensure accurate external messaging.

I joined the Ford Research and Innovation Center in Dearborn, MI, in June 2015 as an Electrified Propulsion Systems Research Engineer within the Vehicle Systems Analysis Group. In this role, I led several modeling, simulation, and analysis projects, providing critical upfront input to new hybrid and electric vehicle programs, resulting in significant cost savings for the company. My work included developing a new combustion engine model, which, combined with on-premises HPC, reduced calibration time for a new engine program by an order of magnitude. I also coupled production control code with a powertrain model to diagnose and explain performance and efficiency issues identified during testing. Additionally, I utilized vehicle usage data from various sources to define electrification requirements for large Ford vehicles.