Naman Gupta
Research Affiliate @ Boston University
About
Currently pursuing an M.S. in Artificial Intelligence at Boston University, I am passionate about building intelligent systems that solve real-world problems. My work focuses on agentic AI, LLM fine-tuning, and applied machine learning, with hands-on experience using LangGraph, Hugging Face, and PyTorch. I have developed and deployed projects across diverse domains, ranging from intelligent HF repository analyzers, secure code optimization tools, and emotion analysis systems, to adjustable face anonymization using diffusion models. I enjoy designing purposeful, reliable AI workflows and evaluating models with custom metrics to ensure meaningful performance. I bring a strong mix of technical expertise, a research mindset, and leadership experience as a former ACM chapter technical head. Always eager to learn and collaborate, I am exploring new ways to push the boundaries of practical AI. Let us connect if you are working on something exciting in agentic AI, LLMs, or intelligent automation!
United States
Boston
Computer Software
OpenAI, Computer Vision, Convolutional Neural Networks (CNN), Large Language Models (LLM), Large Language Model Operations (LLMOps), Code analysis, Research Collaboration, gradio, AI Agents, LangGraph, Hugging Face, Artificial Intelligence (AI), MLOps, AIOps, Natural Language Processing (NLP), Algorithms, Python (Programming Language), Applied Machine Learning, Data Engineering, Web Development
Experience

Research Affiliate
Department of Mathematics and Statistics: • Developed an Agentic AutoML framework exposing data exploration and training as modular tools • Enabled reusable “ML-as-a-tool” components for LLM/agent workflows using LangGraph • Designed robust, generalizable pipelines to support hands-free model building across diverse datasets

Technical Head
• Directed the technical development of over 20 mini project groups, while also teaching C++/Python to students. • Spearheaded the end-to-end execution of 2 competitive programming competitions, leading a team to design, test, and host difficult questions and their test cases.
Naman Gupta's Contact Information
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