Embedded ML · Radar sensing
60 GHz Radar Gesture Recognition
Adapted a PSoC 6 and Infineon XENSIV radar gesture-recognition pipeline for use in a larger embedded system, adding GPIO signaling and UART output for detected gestures.
Electrical Engineering · Embedded Systems · Mechatronics
I'm Jay, an electrical engineering student interested in embedded systems, sensing, electronics design, mechatronics, and edge computing. I like turning ideas into working prototypes—and understanding why they work.
Selected work
Projects are documented around the problem, my contribution, implementation, and lessons learned.
Embedded ML · Radar sensing
Adapted a PSoC 6 and Infineon XENSIV radar gesture-recognition pipeline for use in a larger embedded system, adding GPIO signaling and UART output for detected gestures.
Assistive technology · Team project
A wearable facial-recognition assistive device with radar-based gesture activation. I served as project manager and contributed to system architecture, gesture integration, CAD, and power-system design.
Case study in progress
Electronics design · Education
Circuit and PCB development for hands-on physics, chemistry, and circuit-analysis learning modules—from simulation and component selection through layout, fabrication, and supporting lesson material.
Case study in progress
Embedded Linux · Human interface
A compact interactive projection system using a Raspberry Pi, IMU sensing, and a small projector on an articulated arm, inspired by the Android Things Lantern concept.
Prototype in progress
Toolbox
C / C++ · Microcontrollers · PSoC · Raspberry Pi · UART · SPI · I²C · Sensors · Circuit Analysis · PCB Design
Python · Linux · Git · Docker · Embedded Linux · Local AI / ML workflows
CAD · 3D Printing · CNC Machining · Laser Cutting · Electronics Prototyping
About
My projects tend to span disciplines: firmware talks to sensors, mechanical parts hold electronics, and software turns the whole thing into a usable system. I’m especially interested in embedded systems, mechatronics, intelligent sensing, PCB design, and edge AI.
This portfolio is intentionally focused on process as much as finished results: architecture, tradeoffs, failures, debugging, and what I would change in the next revision.