I am passionate about building technology that meaningfully benefits the physical world.
My focus areas are in robotics and control systems, and I am currently studying Mechanical Engineering and Robotics at The Johns Hopkins University. My interests lie in deep tech startups that leverage modern technologies like AI to improve the world we interact with. I've had internships at Zoox, Amazon's robotaxi spinoff, and Fulfil, a grocery automation startup, both of whom are aligned with this mission.
Born and raised in Central Jersey, I grew up in a melting pot of unique places, subcultures, and experiences, and became interested in how different aspects of the world around me could be improved by implementing technology where it matters. This has inspired me to build an equally diverse set of skills and interests, and continue taking in all the experiences the world has to offer.
Experience
May 2025 - Aug 2025
Suspension Bench Test & Data Analysis Intern
Zoox
- Conducted data-driven active suspension usage study to identify efficiency gaps in system utilization and extend lifetime of vehicle fleet, using knowledge of control strategies and mechanical system limitations.
- Created statistical models of subsystem performance to validate real-world vehicle behavior against design specification and supplier-provided data.
- Tuned existing Simulink models against physical hardware-in-the-loop test data to better inform controls strategy improvements for future vehicles.
- Identified potential for 36% reduction in component utilization achievable with parameter tuning and controller signal processing improvements, while maintaining ride comfort.
Jun 2024 - Aug 2024
Systems Engineering Intern
Fulfil Solutions
- Performed bench testing and validation of robotic systems for automated grocery delivery fulfillment through rigorous stress testing to uncover new hardware- and software-related operational issues.
- Conducted initial bring-up, calibration, and troubleshooting to prepare machines for production use.
- Performed root cause analysis of machinery failures through in-depth debugging of hardware and software systems and gathered data with various experiments to verify root causes.
- Made recommendations for hardware subsystem revisions to reduce need for human intervention during operation and streamline hardware deployment for future sites.
Aug 2023 - Jul 2025
Controls & DAQ Systems Integration Engineer
Blue Jay Racing - Baja SAE at Johns Hopkins
- Developed embedded control system for engine dynamometer with novel synchronous motor braking solution.
- Designed and optimized rack and pinion steering subsystem for JH21XT race car using Solidworks and ANSYS.
- Integrate data acquisition electronics and sensors with vehicle by designing custom ingress-protected enclosures and wiring harnesses.
- Develop procedures for bench testing, on-vehicle validation, and calibration of data acquisition system electronics and suggest data- and process-driven improvements to various vehicle subsystems.
Aug 2024 - present
Strategic Advisor
Pava Center for Entrepreneurship, Johns Hopkins University
Operations Intern (Aug 2023 - May 2024)
- Facilitate weekly Mastermind Sessions to review venture development basics with idea-stage startup founders
- Conduct consultations to assist founders with business plan and product development and pinpoint needs of early-stage ventures
- Founding undergraduate entrepreneurship club to connect student founders on campus
Jun 2020 - Aug 2023
Research Intern
UCLA Earth, Planetary, and Space Sciences
First Author of Rover Concept for Exploring Lunar and Martian Crustal Magnetic Fields
Published at NASA Exploration Science Forum 2022. AGU Fall Conference 2021 and 2022, and Lunar and Planetary Science Conference 2022 and 2023
- Designed and built prototype rover to test magnetometer configurations and data processing techniques for missions that will map crustal magnetic fields on the Moon and Mars
- Created electronics subsystem for magnetometer data collection and wrote robot system firmware in Robot Operating System
