Summary
Utkarsh Sharma is a software engineer and applied AI researcher with 12 years of experience building scalable full‑stack systems and production ML for fintech, telecom, and energy domains. Currently at Intuit, he delivers fast-turnaround solutions that streamline financial workflows for mid-market customers, drawing on prior enterprise modernization work at Oracle. His graduate research at NC State produced a protocol-faithful Open RAN traffic‑steering system that blends rule-based slicing with reinforcement learning for real‑time, scalable allocation—an uncommon intersection of networking research and deployable inference. He has also built physics‑informed and data‑driven models for power electronics and distributed energy systems that improve observability with low-cost sensors, showing a practical focus on cost-effective deployment. Comfortable across product, research, and engineering teams, he excels at turning complex physical or business constraints into performant, maintainable software.
12 years of coding experience
4 years of employment as a software developer
Bachelor of Engineering - BE, Computer Engineering, Bachelor of Engineering - BE, Computer Engineering at Thapar Institute of Engineering & Technology
Master of Science - MS, Computer Science, Master of Science - MS, Computer Science at North Carolina State University