Agastya Seth is a Staff AI Software Engineer based in Sunnyvale with nine years of experience building production-grade ML and EDA systems. Currently focused on state-of-the-art agentic GenAI frameworks at Synopsys, he blends deep research on LLM reasoning and safety with hands-on engineering to deploy practical R&D solutions. His background includes driving core algorithmic improvements in parasitic extraction and 3DIC flows at Cadence, and inventing ML shortcuts to predict Verilog RTL performance without full synthesis. He has published internally on generative AI for EDA and led projects that delivered measurable efficiency and accuracy gains for industry customers. Academically strong—MS in Computer Science from ASU with a 4.0—and experienced in applied NLP research, he also has a track record of shipping explainable, high‑performance models used by large publishers and testing agencies. Colleagues would note his knack for turning complex physical-design problems into elegant ML and graph-theory solutions that scale.
9 years of coding experience
9 years of employment as a software developer
Master of Science - MS, Computer Science, 4.0, Master of Science - MS, Computer Science, 4.0 at Arizona State University
Bachelor of Technology, Electronics and Communication | Minor in Mathematics, 8/10, Bachelor of Technology, Electronics and Communication | Minor in Mathematics, 8/10 at Shiv Nadar University
Visiting Student (Summer), Data Science Intensive | Technology Entrepreneurship, 4.0, Visiting Student (Summer), Data Science Intensive | Technology Entrepreneurship, 4.0 at Stanford University
Contributions:3 commits, 2 pushes, 1 branch in 4 years 7 months
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Agastya Seth - Staff AI Software Engineer at Synopsys Inc