Mustafa Kahraman

• Implemented AI agents with advanced retrieval augmented generation (RAG) techniques using Qdrant, Ollama, LangChain, Agno, DSPy and Streamlit.

• Engineered a reliable LLM-as-a-Judge system to automate large-scale dataset annotation, achieving 98% consistency and high accuracy across multiple runs.

• Engineered a suite of API services using FastAPI to expose the functionalities of agentic AI applications.

• Drove research and development initiatives across multiple domains, successfully translating complex findings into market-ready products and influential scientific papers.

• Developed proof-of-concept Quantum Key Distribution and Quantum Random Number Generation systems experimentally and developed and implemented related algorithms in Python.

• Created parallel algorithms for analysis of experimental data, enabling efficient processing in Python.

• Led a project of quantum LIDAR and designed algorithms that run on FPGAs.

• Developed simulations and mathematical models of quantum physical systems from scratch.

• Conducted extensive theoretical and computational research.

• Developed and implemented complex simulations of quantum physical systems using Python and Fortran.

• Responsible for developing and maintaining large code base simulation software.

• Utilized parallel distribution in High Performance Computing (HPC) clusters (OpenMP, SLURM).

• Used machine learning algorithms for solving complex quantum physics problems.