I build intelligent, production-ready systems at the intersection of AI engineering and full-stack development from LLM-powered backends to responsive, real-time frontends.
Currently focused on: RAG pipelines, LLM agents, AI voice systems, and full-stack AI products.
- LLM Integration β OpenAI API, prompt engineering, RAG architecture, LLM agents
- Full-Stack Development β React, Next.js, Node.js, FastAPI, .NET Core
- AI/ML Engineering β PyTorch, fine-tuning, embeddings, vector databases
- Cloud & DevOps β AWS (Certified Cloud Practitioner), Docker, PostgreSQL, Redis
Languages
AI / ML
Frontend
Backend
Databases & Cloud
| Project | Description | Stack |
|---|---|---|
| GenAI Chatbot Platform | AI chatbot for university research with A/B testing and Qualtrics integration | React, FastAPI, OpenAI |
| RAG Document Assistant | Retrieval-augmented generation system for document Q&A | Python, LangChain, Vector DB |
| AI Voice Task Manager | Voice-driven task management using STT/TTS pipelines | Twilio, OpenAI, FastAPI |
| OSS Health Tracker | Dashboard tracking health metrics of open source repositories | Next.js, PostgreSQL, D3.js |
- MS Computer Science @ Binghamton University (GPA 3.9, Dec 2026)
- AWS Certified Cloud Practitioner
- Open Source Contributor β ed-donner/llm_engineering
- Daily DSA practice in Python
- Interests: LLM systems, AI agents, full-stack architecture, neuroimaging research

