AI Developer | LLM Engineer | NLP | Quantum AI
I develop production-grade AI applications with a focus on Large Language Models (LLMs), Retrieval-Augmented Generation (RAG), Multi-Agent Systems, and Intelligent Document Processing.
My research interests lie at the intersection of Artificial Intelligence and Quantum Computing, with a focus on Quantum Machine Learning, hybrid quantum-classical architectures, and efficient optimization techniques.
- Large Language Models (LLMs)
- Retrieval-Augmented Generation (RAG)
- Multi-Agent Systems
- Intelligent Document Processing
- OCR + LLM Pipelines
- Prompt Engineering
- FastAPI
- LangChain
- Hugging Face
- OpenAI API
- Neo4j
- Vector Databases
- Quantum Machine Learning
Python • C# • SQL • JavaScript
PyTorch • TensorFlow • scikit-learn • LangChain • Hugging Face • OpenAI API
Qiskit • PennyLane
FastAPI • REST APIs • Streamlit
Neo4j • PostgreSQL • MySQL
AWS • Git
- AI-powered Document Processing
- Multi-Agent Banking Automation
- Retrieval-Augmented Generation (RAG)
- Quantum Computing Experiments
- LLM Applications
"Nature isn't classical, and if you want to make a simulation of nature, you'd better make it quantum."
— Richard P. Feynman