Akzharkyn Izbassarova

I have led the end-to-end development of traffic violation detection systems, from model training and optimization to deployment. I also managed a team of five engineers and helped achieve detection accuracy of around 80%. My main areas of expertise are Python, PyTorch, deep learning, and deploying models in resource-constrained environments. I enjoy solving practical engineering problems and building reliable, efficient computer vision solutions for applications such as traffic monitoring, smart surveillance, and edge AI. I’m currently expanding my knowledge in NLP and Generative AI and exploring how these technologies can be combined with computer vision.