Muhammad Usman is the Chief of AI at ARCQ. He brings nearly seven years of experience in designing and implementing machine learning and full-stack software solutions. He works in computer vision, natural language processing, and predictive analytics. Usman has led projects like NLP systems using LLM-generated embeddings and automated floor plan analysis. Previously, he led AI teams at Giotto.ai and RedBuffer, working with over 50 clients on projects from satellite imagery segmentation to real-time pose estimation and financial forecasting. He delivers complete, user-focused AI solutions.