Designed and developed an IR vein finder prototype that reduced costs by 75% compared to market alternatives, making vein detection technology more accessible.

Trained and implemented a U-Net machine learning model to accurately identify veins from IR images, achieving high segmentation precision with a custom dataset of 2,880 images.

Advanced efforts to project segmented vein images back onto the patient’s arm, aiming to improve first-stick success rates for medical procedures.

Developed an embedded system to spin a LED matrix, enabling real-time volumetric 3D image display, which achieved seamless rotation for dynamic animations.

Programmed microcontrollers to synchronize hardware components, ensuring precise control and integration for optimal volumetric image rendering.

Acquired proficiency in interpreting and applying datasheet specifications to guide hardware selection and system design, ensuring compatibility and performance.

Created a CR16 CPU design from scratch, progressing through Verilog module development, FPGA testing, and VLSI fabrication to deliver a functional and validated hardware implementation.

Designed and implemented a hardware-based VGA output system that interfaces with onboard memory controlled by the CPU, enabling real-time graphical display.

Developed CR16 assembly code to recreate the classic game snake, enabling two-player battles with dynamic wall obstacles for gameplay.