I am a senior Electrical Engineering student at the University of Virginia specializing in VLSI design, computer hardware architecture, and embedded systems. My work spans from nanoscale circuit optimization to systems-level hardware-software integration.
Leading a team of 15 TAs, coordinating lab sessions, ensuring grading and office hour duties are met, and developing curriculum materials.
Guiding students through the design and implementation of pipelined RISC-V processors and providing feedback on digital design concepts.
Developing low-cost, low-latency impedance measurement systems for biological signal analysis using Raspberry Pi and custom PCB architecture.
Performing live music and managing sound production and mixing for a rock band.
Designed and optimized a complete SRAM system in FreePDK 45nm using Cadence Virtuoso. Implemented custom 6T bitcells and evaluated multiple sense amplifier and decoder architectures. Applied dynamic wordline voltage techniques to optimize the ActiveEnergyPerAccess×Delay²×Area×IdlePower metric. Verified the design using SPICE simulations, checking acrossing PVT corners.
Built an AES-128 encrypted radio system on PYNQ-Z1 Xilinx FPGA boards using Vitis HLS to generate hardware IP modules with AXI protocol integration. Demonstrated successful encrypted communication between two boards via radio.
Developed and trained a Convolutional Neural Network (CNN) for MNIST classification, then converted it to a Spiking Neural Network (SNN) for deployment on BrainChip Akida hardware. Benchmarked inference latency, energy efficiency, and accuracy against Intel i7-8700k CPU baseline.
Constructed a complete soft-core RISC-V CPU supporting arithmetic, logic, memory, and branch instructions. Integrated UART transceiver and validated functionality through comprehensive ModelSim testbenches.