Khalig Aghakarimov

Hello, I’m an AI Engineer with a strong foundation in deep learning, computer vision, and end-to-end software development. I specialize in building and optimizing vision-based models for tasks like object detection, segmentation, and scene understanding, with experience deploying them in real-world applications.

With a background in software development, I bring a product-focused mindset to research — writing clean, scalable, and production-ready code, automating ML pipelines, and working seamlessly with cross-functional teams. I enjoy bridging the gap between cutting-edge AI research and practical engineering, and have experience deploying models on edge devices.

Currently, I’m focused on solving real-world problems using modern vision architectures (CNNs, ViTs, Diffusion Models), optimizing performance for both accuracy and speed. I’m passionate about open research, reproducibility, and building tools that make ML systems robust, interpretable, and usable at scale.