I’m a hardware optimization and AI enthusiast with a strong foundation in FPGA/edge AI, computer vision, and ML systems. I’ve designed scalable, hardware-aware AI solutions and worked on end-to-end AI agent design, from model acceleration to orchestration and retrieval-augmented generation. I enjoy cross-disciplinary problem-solving and teaching, and I’m motivated by building practical AI hardware-software co-designs that perform reliably in real-world environments.
Beyond engineering, I’ve mentored students in circuits and signal processing, collaborated on interdisciplinary projects, and contributed to research in hyperspectral imaging and AI for power systems. I’m eager to apply my hands-on experience in AI hardware acceleration, ML engineering, and systems design to roles that bridge hardware and software to create innovative, robust AI solutions.
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