Evgeniya Mikhaylova

I am an innovative and passionate AI engineer with nearly three years of commercial experience, focused on applying computer vision and modern deep learning techniques to real-world problems. I have end-to-end experience in research, development, optimization and deployment of CV models, and I take ownership of model quality and performance.

At Korda Group I implemented traffic violation detection pipelines, introduced architectures such as EfficientNet and YOLO, and supervised a team of data annotation specialists to improve dataset quality and diversity for more robust models. I also optimized models for edge devices and continuously improved performance through techniques like pruning and quantization.

During a recent career break I expanded my skill set with hands-on projects in NLP, generative and diffusion models, and deep reinforcement learning—work that produced a paper accepted to IEEE SISY 2022—demonstrating my commitment to research-driven engineering and collaborative, high-impact projects.