Dulat Tulebayev

deep learning, computer vision, reinforcement learning, and large language models. I enjoy building end-to-end ML systems that solve practical real-world problems, from data collection and model training to deployment and evaluation, particularly interested in developing reliable, efficient AI solutions and exploring how modern ML techniques can be applied to areas such as agriculture, intelligent transportation, and decision support systems