Summary
Elahesadat Naghib is a seasoned data scientist, co-founder and energy/optimization software architect with a Princeton PhD in Operations Research and Financial Engineering and nine years of experience. She led R&D at Avantus and Convoy, pioneering the concept of Networked Solar Power Plants and real-time market optimization, and she created the first AI-driven dynamic scheduling for astronomical surveys now used by the Vera Rubin Observatory. As co-founder of Enerlace, she has shipped production AI systems—from BERT-based sentiment pipelines to GPT-integrated customer-service automation and design tooling—while building scalable, offshore-engineered solutions and CI/CD practices. A two-time International Astrophysics Olympiad gold medalist, she blends rigorous mathematical modeling with practical software delivery at scale. Based in Seattle, she is pursuing AI-enhanced decision support for energy infrastructure with two filed provisional patents and ongoing customer validation. She thrives at the intersection of research and engineering, turning complex optimization into reliable, scalable software for energy and logistics.
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