Siddhant Gupta is an AI application developer with 11 years of hands-on experience building production-ready LLM systems and agentic orchestration at companies like NVIDIA and the Center for Applied AI. He focuses on turning messy inputs into structured, typed outputs and improving model behavior through fine-tuning, retrieval optimization, tool-calling, and rigorous evaluation pipelines that prioritize observability, reliability, and trust. His work spans end-to-end production concerns—FastAPI middleware, Celery task queues, Postgres state persistence, Kubernetes CI/CD, and Responsible AI guardrails—driving measurable improvements such as reduced latency and higher detection rates. An active open-source contributor who has worked on back-end systems like the TEAMMATES feedback tool and contributed to Firefox, Siddhant also publishes learnings publicly and thrives in hackathons where he prototypes fast and ships practical solutions. Based in Los Angeles with a strong research background in explainable ML and distributed pipelines, he blends academic rigor with pragmatic system design to make complex AI workflows predictable and usable.
11 years of coding experience
4 years of employment as a software developer
UMBC
Bachelor's degree, Information Technology, Bachelor's degree, Information Technology at Shri Sant Gajanan Maharaj College of Engineering, Shegaon
This is the project website for the TEAMMATES feedback management tool for education
Role in this project:
Back-end Developer
Contributions:18 commits, 6 PRs, 40 comments in 28 days
Contributions summary:Siddhant primarily contributed to the back-end logic of the TEAMMATES feedback management tool. Their work involved modifying Java code related to course management and feedback processing, as evidenced by changes in `Const.java` and test classes. Additionally, the user made changes to HTML files and test files, indicating a focus on updating existing features and testing the impact of changes on the application's functionality. They also worked on the export functionality for feedback, specifically for the constant sum question type.
Contributions:67 PRs, 106 pushes, 89 branches in 4 months
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