Sinan Kefeli

Sinan Kefeli is an AI scientist with a focus on natural language processing (NLP), machine learning, and computer vision. At Verizon, he develops models to analyze customer call transcripts, improve customer interactions, and answer complex queries using large language models (LLMs). His work includes fine-tuning open source models like Mistral and Flan-T5, building graph databases, and creating tools for real-time information retrieval.

Prior to Verizon, Sinan earned his PhD in Physics from Caltech, where he applied advanced machine learning techniques to large-scale scientific data pipelines.

Sinan uses tools like Python, PyTorch, Neo4j, and Docker to build reliable and efficient AI systems. He focuses on practical solutions that are clear, measurable, and effective.