PhD in Mechanical Engineering | MS in Computer Science @ UConn
Building intelligent systems at the intersection of LLMs, computer vision, and manufacturing. My research focuses on multimodal AI systems, RAG frameworks, and physics-informed machine learning for engineering applications.
- 🥇 1st Place - ASME AI Hackathon (2025)
- 🏅 Best Paper Award - ASME IDETC/CIE (2025)
- 📄 41% improvement with MCERF multimodal retrieval system
- 🎓 Pratt & Whitney Graduate Fellowship
Python • PyTorch • TensorFlow • HuggingFace • LangChain • RAG Systems • AWS/Azure/GCP • Docker
Specialized in foundation models, vision-language models, fine-tuning (LoRA/QLoRA), and multi-agent systems.
Working on multimodal LLM frameworks for engineering documentation, defect detection systems for 3D printing, and physics-aware ML for manufacturing.