CS Graduate Student at Boston University. Focusing on NLP, LLMs, and Multi-Agent Systems.
I am a researcher and developer passionate about the intersection of Large Language Models and Visual Intelligence. [cite: 8] Currently, I'm exploring how multi-agent workflows can revolutionize software and hardware ecosystems. [cite: 27, 28]
MS in CS @ Boston University
Diffusion Models, Agentic AI
Python, Java, C, C++
PyTorch, NumPy, scikit-learn
Machine Learning, NLP
Git, Linux, Prompt Eng.
Deal Flow Xchange Inc.
Xiaohongshu (RED)
Recent Build Log
A mix of recent product builds and research work across agents, developer tools, and applied AI systems.
A browser-based game analysis lab that turns game states into structured review, tactical direction, and beginner-friendly explanations, while also shipping playable sandbox modules in the same project.
A from-scratch Transformer learning repo that documents how I moved from vague concepts to a runnable decoder-only model, with tutorials, attention demos, and tiny-language-model training scripts.
Integrating CLIP and Diffusion Models for improved visual accuracy and semantic consistency. Accepted by NCAW 2024.
My graduation-project style natural-language agent that reads lead data, generates personalized outreach copy and follow-ups, and packages campaign-ready outputs for Instantly and Airtable.
Combining Crisscross Search and Sparrow Search for enhanced optimization. Submitted to IJCNN.
I am always open to discussing AI research, internship opportunities, or interesting projects.