I build technology that meaningfully benefits the physical world. I want to build robots that give people time back, make dangerous work safer, and extend human reach into space.
I study Mechanical Engineering and Robotics at Johns Hopkins and have worked on robotic automation through internships at Zoox and Fulfil. My strength is breaking down problems, working through the math, and getting the solution running.
I enjoy making things work. I specialize in controls := "making robots do things." and bring a generalist’s approach to tackling problems across the stack, from system design to bare metal.
Selected Work
Experience
May 2026 - Aug 2026
Robot Dynamics Simulation Engineer Intern
Zoox
- Built end-to-end vehicle dynamics model simulation pipeline to validate candidate changes to vehicle model and evaluate model fidelity.
- Developed metrics to quantify vehicle simulation data similarity against vehicle test data, using cross-correlation and statistical divergence analysis
- Deployed internal analysis tool for identifying model fidelity regressions and narrowing regressions to specific performance regimes.
Aug 2025 - Present
Researcher
Autonomous Control and Exploration Lab
- Implemented generative sampling-based motion planning on MuJoCo-based 7-DOF satellite locomanipulation task and compared task completion and loop time to MPPI, CEM, and DIAL-MPC.
- Trained diffusion policies with expert trajectory data to warm-start model predictive control loop for reduced planning latency.
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.
