Embedded engineer focused on sensing, motion control, and instrumentation. I lead concept-to-validation test setups — fixtures, automation, data — building MCU firmware, DAQ chains, PCB interface boards, and Python automation/GUI tools.
Dual-toolhead/toolchanger stack running Klipper on an STM32H723. Custom macros for tool select, safe homing, and BLTouch bed routines; TMC5160 drivers tuned over SPI with log-driven motion diagnostics.
View on GitHub ↗Haptic navigation cane for visually impaired users. Ultrasonic arrays detect obstacles in a 170° cone and drop-offs below the tip, mapped to haptic motors on the handle and a wearable bracelet.
View on GitHub ↗Motorized photogrammetry rig (ESP32 + steppers) with an SfM pipeline that reconstructs 3D arm meshes from unconventionally captured images for at-home volumetric tracking.
View on GitHub ↗Poroelasticity measurement device for lymphedema monitoring. Custom KiCad LVDT read-out board with sub-micron resolution and < 5 µV RMS noise; closed-loop motion control with Python GUI.
View on GitHub ↗Adaptive RC controller for children with cerebral palsy: a microcontroller drives OEM board inputs from up to four 3.5 mm accessibility switches. Three controllers deployed with United Cerebral Palsy.
View on GitHub ↗B.S. in Computer Engineering; Minor in Spanish
Yang, S., Chua, Z., Golobish, K. R., Beaver, J. C., Le, M. H. H. (2024). Vision-Based Force Estimation for Minimally Invasive Telesurgery Through Contact Detection and Local Stiffness Models. Journal of Medical Robotics Research.