Hardware founder building at the intersection of AI and physical products.

A 1/10-scale autonomous, morphable robot car that dynamically adjusts wheelbase, track width, and ground clearance to adapt to changing terrain. Built at UC Berkeley's MPC Lab with gooseneck linkages at each wheel, autonomous kinematic recalibration, and MPC-based motion control — validated through Simulink simulation and on-vehicle motion-capture testing.

• Model Predictive Control
• MATLAB / Simulink
• Python
• BLDC motors
• 3D-printed structure
• Motion-capture validation

Designed, built, and competed with Formula SAE race cars across both electric and combustion classes over two seasons, owning powertrain end-to-end from selection and integration through dyno and on-track validation.

• ANSYS Fluent CFD
• MATLAB / Simulink
• CAN bus
• Custom BMS + VCU
• EV + IC

MEMS research on a bi-directional electrothermal microactuator with tapered Z-shaped beams, fabricated using the PolyMUMPs polysilicon surface-micromachining process. Tapering optimization improved vertical shuttle displacement ~50% versus equivalent V-shape actuators.

• PolyMUMPs
• ANSYS Thermal
• MATLAB
• Polysilicon
• Microfabrication

CFD optimization and numerical validation of an Oscillating Water Column device for harvesting ocean wave energy. Modified chamber geometry plus internal plates improved peak hydrodynamic efficiency from 66.5% to 90.27%. Published in Springer Lecture Notes in Mechanical Engineering.

• ANSYS Fluent
• CFD
• VoF Multiphase
• SST k-ω
• Stokes 5th-order

Commercialization strategy for two emerging UC Berkeley deep-tech research efforts — superconducting digital computing (RSFQ circuits) and carbon-capture / sustainable-agriculture systems — translating breakthrough research into actionable licensing and go-to-market pathways.

• Technology Assessment
• Market Analysis
• GTM Strategy
• Competitive Landscape
• Industry Interviews