Ronit Shahu is an award-winning AI engineer with expertise in machine learning, NLP, embedded systems, and full-stack development. Currently pursuing a Master’s in System Science and Engineering with a Microprogram in Interdisciplinary Artificial Intelligence (IAI) at the University of Ottawa, he has worked on cutting-edge projects, including developing an autonomous PiCar-X using YOLOv11 for traffic sign detection and enhancing AI-driven cancer drug trials with custom NER models.
With experience at Persistent Systems and CRAIEDL, Ronit has applied deep learning, predictive modeling, and data automation to optimize real-world applications. Passionate about AI ethics and innovation, he thrives on solving complex AI challenges and developing scalable solutions.