Ghasem Pasandi is a Senior AI Architect with eight years of experience applying LLMs, reinforcement learning, and deep learning to VLSI CAD and chip design at NVIDIA and USC. He has led production deployments that automate EDA workflows—building multi-agent systems, LLM-driven script generation, and AI-assisted post-layout timing analysis used by hundreds of internal engineers. His research background produced award-winning publications and a patent portfolio spanning SFQ circuit mapping, RL-based logic synthesis, and energy-efficient neural implementations. Notably, he translated research into silicon impact by identifying and adding new standard cells adopted in NVIDIA GPUs, and by integrating RL optimizations into Ampere GPU flows. Comfortable bridging research and production, he combines PhD-level rigor with hands-on system engineering to speed design cycles and surface actionable insights from hardware data. Based in Bellingham, WA, he continues to push the frontier where large language models meet hardware design automation.
8 years of coding experience
14 years of employment as a software developer
Doctor of Philosophy (Ph.D.) Electrical Engineering, Doctor of Philosophy (Ph.D.) Electrical Engineering at University of Southern California
Master of Science (M.Sc.) Circiuts and Systems, Master of Science (M.Sc.) Circiuts and Systems at University of Tehran
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