Resume

I'm working on unreleased human-computer interaction projects at Opal. I spend most of my time on firmware and embedded systems. Specifically, I work with FreeRTOS, C++ for 32-bit Arm cortex MCUs, custom I2C drivers, field-oriented-control for BLDC motors, and PCB layout.
I wear many hats here — I also work on electromechanical integration, part production, design, and R&D for future products.

TLDR: I built a near field 3 axis chamber.
I built the electrical & software side of a chamber to test phased array beamforming accuracy. I wired the CNC electronics and its peripherals (antenna, laser, FPGA, bare metal server setup, beckhoff safety circuit, infrared cameras). To control the system, I repurposed legacy PLC motor control code and set up a Python control interface to enable simple jupyter notebook control of an otherwise complex system.
Skills: Beckhoff TwinCAT, PLC code, industrial automation, CI, Linux Autotest, Docker testbed, Python.

I designed a high-voltage test rack for 226 kWh marine battery. Using Linux and CAN, I automated the pre-charge, pack charge, and hipot tests. I wrote custom Python/OpenHTF drivers and delivered a cohesive product to the software team. I also caught a fatal harnessing defect and PCB design flaw - I diagnosed and fixed it within 24 hours, unblocking boat production.
I also redesigned the battery's HVIL PCB in Altium.

I designed and fabricated a wireless, minimally invasive alternative to endoscopic biopsies. I proposed an alternative to the capsule endoscopy standard using electromagnets. I implemented a feedback control loop with camera tracking (Python OpenCV), force sensor input (I2C, C++), and current sensor input (custom PCB, SPI).
I also spent some time exploring the inductive properties of electromagnets to use induction as a proxy for distance. I then used that signal to find the distance of an electromagnetic prosthetic leg from a bone-anchored implant.
Poster presentations at the SoCal Robotics Symposium (Irvine 2023) and BMES Annual Meeting (Seattle 2023).

I prototyped signal processing algorithms for a continuous, non-invasive blood pressure sensor. I used signal processing techniques (wavelet transform, peak detection) to extract physiological features (systolic/diastolic peaks) in MATLAB. I also wrote an algorithm to identify movement events from noisy accelerometer data.