Summary
Amir Delgoshaie is a senior data science leader based in the San Francisco Bay Area with nine years of experience building production-grade AI/ML systems at enterprise scale. At C3 AI he has progressed from hands-on research and modeling to directing Generative AI R&D, shipping domain-specific LLMs, coding agents, and developer-facing tooling like the C3 AI Code Assistant across web, JupyterLab, and VS Code. He combines a PhD-level grounding in engineering with product-focused execution—defining roadmaps, formalizing productivity metrics, and creating infrastructure for LLM training, A/B testing, and evaluation. His background spans predictive maintenance, simulation-driven optimization, and virtual metering for energy and manufacturing customers, reflecting a pattern of turning complex scientific models into reliable production services. Colleagues rely on him to bridge research, platform engineering, and developer experience, and he’s notable for operationalizing internal workflows (training data curation, feedback loops, QA) that accelerate enterprise AI adoption.
9 years of coding experience
11 years of employment as a software developer
Stanford Ignite Certificate Program in Innovation and Entrepreneurship, Stanford Ignite Certificate Program in Innovation and Entrepreneurship at Stanford University Graduate School of Business
Bachelor of Applied Science (B.A.Sc.) Mechanical Engineering, Bachelor of Applied Science (B.A.Sc.) Mechanical Engineering at Sharif University of Technology
Master's degree Mechanical Engineering, Master's degree Mechanical Engineering at ETH Zürich
Doctor of Philosophy (PhD) Energy resources engineering, Doctor of Philosophy (PhD) Energy resources engineering at Stanford University
English, German, Persian, Arabic