Summary
Mahtab Farrokh is an Applied Scientist with a decade of experience building ML systems that bridge research and production, currently focused on RAG, multi-agent chatbots, and LLM-driven legal workflows at Thomson Reuters Labs. She has a strong academic foundation from a Computer Science MSc and a publication record from applied healthcare projects—ranging from computational pathology and cancer recurrence prediction to Alzheimer’s detection from audio—demonstrating both domain depth and practical impact. At Amii she led end-to-end LLM pipelines and productionized GPT-4 + LangChain solutions, improving legal document automation and information retrieval through hybrid search and reranking techniques. Comfortable across the stack, she also has hands-on deployment experience with Docker and FastAPI and has taught and mentored in AI-for-health and accessibility-focused projects. Passionate about healthcare applications, she repeatedly applies contrastive self-supervised learning and novel evaluation metrics to boost predictive performance in medical imaging settings. Based in Vancouver, she combines research rigor with product-minded engineering to deliver ML solutions that impact clinicians and legal professionals alike.
10 years of coding experience
6 years of employment as a software developer
Master's degree, Computer Science, Master's degree, Computer Science at University of Alberta
Amirkabir University of Technology
English, Persian