I’m Richie, an MEng candidate in EECS at UC Irvine with a B.S. in Computer Engineering (Dean’s Scholar) from SJSU. With expertise in embedded systems, hardware acceleration, and AI-driven optimization, I specialize in firmware development, FPGA computing, and machine learning integration. As a Firmware Engineer II at Socionext, I developed SoC firmware and device drivers while leading system validation for ARMv8-R architectures and high-speed interfaces. My research at UC Irvine focuses on FPGA-accelerated deep learning, where I designed a Tiled Matrix Multiplication Accelerator for Transformer self-attention, achieving a 7× speedup over PyTorch on ARM CPUs, alongside a hardware-dataflow co-design that reduced latency by 90%+. Passionate about hardware-software co-design and real-time computing, I aim to drive high-performance, energy-efficient embedded solutions.
Core Expertise Technical Skills Performance Optimization
Synopsys Vdk
Docker
AMD Vivado™ Design Suite
AMD Vitis™
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