Summary
Anton Ganichev is a computer vision engineer and analyst specializing in controllable generative vision and production-ready CV pipelines, with over a decade in software engineering and five years focused on modern CV since 2019. He designs and prototypes conditioned video-generation workflows (spatial conditioning, inpainting, trajectory preservation) while optimizing inference with ONNX, TensorRT and GPU profiling for real-time deployment. His background spans end-to-end systems from dataset/metric design and model iteration to packaging inference APIs, evidenced by successes like a CCTV bicycle-identification system and hands-on course labs for industrial teams. Equally at home teaching graduate seminars and building internal automation (LLM-assisted homework checking), Anton blends research rigor with practical deployment ownership. Based in Moscow, he brings a rare mix of deep generative-diffusion expertise and metric-driven production experience that accelerates taking vision models from experiment to scalable inference.
9 years of coding experience
21 years of employment as a software developer
Master of Engineering - MEng, Computer Science, Master of Engineering - MEng, Computer Science at Russian State Technological University named after K.E. Tsiolkovsky (MATI)