Summary
Ellie Anderson is a Senior Agentic AI Engineer and research-driven builder with nine years of experience translating optimization and AI research into production systems across energy, logistics, and astronomy. She holds a PhD from Princeton in Operations Research and Financial Engineering and led the first AI-based scheduler adopted by the Vera Rubin Observatory. As a founding data scientist at a unicorn and an energy startup, she shipped production ML pipelines, CI/CD practices, and patented networked-solar coordination systems that improved market-facing revenue and bidding automation. Her work combines rigorous theoretical approaches—evident in five energy and AI patents—with pragmatic engineering, including integrating ML and optimization for real-time decisioning at Convoy. Ellie thrives at the R&D–engineering intersection, building tools that empower non-technical stakeholders to operate complex infrastructure. An unexpected thread through her career is competitive problem-solving: she’s a two-time International Astrophysics Olympiad gold medalist, which shaped her appetite for hard, high-dimensional problems.
9 years of coding experience
8 years of employment as a software developer
Bachelor of Science (BSc) Electrical Engineering, Bachelor of Science (BSc) Electrical Engineering at Sharif University of Technology
High school Diploma Physics and Mathematics, High school Diploma Physics and Mathematics at National Organization for Development of Exceptional Talents (Sampad)
Doctor of Philosophy (Ph.D.) Operations Research and Financial Engineering, Doctor of Philosophy (Ph.D.) Operations Research and Financial Engineering at Princeton University
English, Persian, French