Structural analysis, machine design, and simulation, with the assumptions, load cases, and numbers behind each result.
I am a mechanical engineering student at the University of Illinois, drawn to the point where analysis meets hardware: sizing a part from its worst-case load, proving a simulation result is real before I trust it, and carrying a design through to something that can actually be built. My work spans vehicle structures, production tooling, and applied machine learning for manufacturing.
I currently lead the suspension and brakes subsystem on Illini EV Concept, and I have designed production hardware at Volvo Construction Equipment and Schindler. My interests sit in mechanical systems, vehicle engineering, and manufacturing, and I like problems where the analysis and the hardware both have to be right.
SOLIDWORKS & Simulation
Creo Parametric & Simulate
Fusion 360
Static structural FEA · Modal
Mesh convergence · GD&T
Python · PyTorch · Salabim
MATLAB / Simulink · C++
Grad-CAM · transfer learning
Manual mill · lathe · waterjet
Sheet metal · FDM printing
DFM · Taguchi & LHC DoE

Two components across four load cases in SOLIDWORKS Simulation, plus a mesh convergence study, to find what really governs the front corner.

A worm-driven fixture that removes the manual handling of a 40 kg hydraulic joint on an assembly line, sized from worst-case torque.

A ResNet18 classifier that flags defective castings from one image, with a Grad-CAM overlay so an inspector can see what drove the call.

A sheet-metal bracket for a raised elevator fan, checked against the fan's own excitation frequency to rule out resonance.