Tonatiuh Gordillo is a Principal Engineer based in Berkeley with over a decade of hands-on experience building production ML systems, specializing in generative AI, LLMs, and deep learning for complex engineering workflows. He led development of Synopsys Copilot and ScriptGPT to accelerate chip design automation, raising model accuracy from 60% to near 100% through data curation, few-shot learning, and rigorous evaluation pipelines. Earlier roles at Waymo and Synopsys combined safety-focused ML and statistical inference to improve autonomous-vehicle risk detection and product performance, while his work in industry R&D delivered real-time telematics and battery-health monitoring systems. Trained as a computational physicist (PhD) who authored 30+ peer-reviewed papers with 3k+ citations, he bridges high-performance scientific computing and applied ML, contributing large-scale simulation code and production pipelines. Multilingual and experienced organizing scientific events, he excels at cross-disciplinary collaboration that turns research-grade algorithms into deployable, customer-facing tools.
10 years of coding experience
9 years of employment as a software developer
Bachelor of Engineering (B.E.) Computer Sciences, Bachelor of Engineering (B.E.) Computer Sciences at Tecnológico de Monterrey
PhD in Physics Computational Physics, PhD in Physics Computational Physics at Université catholique de Louvain
Master's degree Engineering Physics/Applied Physics, Master's degree Engineering Physics/Applied Physics at Centro de Investigación en Óptica
Contributions:1 PR, 181 pushes, 1 branch in 6 years 1 month
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Tonatiuh Gordillo - Principal Engineer at Synopsys Inc