Profile
He is an applied scientist with hands-on experience building data-driven solutions in natural language processing, genomics, recommender systems, and AI observability. He has led research projects in both startup environments and academia. In recent years, his work has focused on developing tools and methodologies to enhance the safety, reliability, and trustworthiness of AI systems — including generative machine learning models and large language models.