Mahtab Farrokh

Background

About Mahtab Farrokh

I am a Machine Learning Applied Scientist at Thomson Reuters lab, specialized in leveraging Retrieval-Augmented Generation (RAG), multi-agent chatbots, and Large Language Models (LLMs) to enhance and streamline legal technology workflows. My academic journey includes a Master of Science in Computer Science, during which I explored impactful machine learning applications in healthcare. My projects spanned cancer research, computational pathology for cell detection, survival analysis predictions, and Alzheimer’s detection from audio data, resulting in five peer-reviewed publications. Healthcare remains an area I'm deeply passionate about. My professional interests are broad yet interconnected, including machine learning, computer vision, AI-driven healthcare solutions, and everything related to LLMs and natural language processing (NLP). I thrive at the intersection of technology and real-world applications, continually seeking innovative solutions that make a meaningful impact.