Summary
Harsh Sharma is a research-driven engineer with 10 years of experience building production-ready AI applications that bridge LLMs, deep learning, and backend integration. Currently at USC and Zage, he designs agentic LLM simulations, policy-guardrail systems, and cloud-deployed FastAPI pipelines while driving data-driven research in the energy sector. Previously at Shell he delivered multiple Azure-based API integrations that produced six-figure operational savings and led GenAI proofs-of-concept to automate IT workflows. Comfortable across Python, PyTorch, LangChain and .NET/C#, Harsh combines ML research depth with pragmatic system design for reliability and scale. Heโs a hackathon winner and conference presenter who uniquely focuses on composable agent workflows and audit-friendly ML reliability tooling.
10 years of coding experience
5 years of employment as a software developer
Masters in Computer Science, Masters in Computer Science at University of Southern California
B.Tech Computer Science and Engineering, B.Tech Computer Science and Engineering at Amity University
High School Diploma, science, High School Diploma, science at Little Flowers Public Senior Secondary School
english and hindi