Summary
Abhiroop Ghosh is an algorithm developer with a PhD in Electrical and Computer Engineering and a decade of experience building optimization-driven software for power systems and energy markets. He has designed and implemented MIP and evolutionary optimization solutions for unit commitment, dispatch, and storage across industry platforms at AspenTech and Energy Exemplar, and contributed AI-driven design exploration work to DARPA and Siemens. His research background in explainable AI, multi-objective optimization, and design space exploration informs practical tools that bridge academic rigor and production-grade energy modeling. Comfortable in cross-disciplinary teams, he has translated complex optimization results into visualizations and deployable software for stakeholders including Ford, GM, and grid market operators. Based in Atlanta, he maintains an active GitHub and portfolio showcasing reusable optimization components and applied research code.
10 years of coding experience
9 years of employment as a software developer
High School, High School at The Future Foundation School
Nava Nalanda High School
Bachelor's Degree, Electrical Engineering, Bachelor's Degree, Electrical Engineering at Jadavpur University
Doctor of Philosophy - PhD, Electrical and Computer Engineering, Doctor of Philosophy - PhD, Electrical and Computer Engineering at Michigan State University
English, Bengali, Hindi