Summary
Kira Vinogradova is an AI engineer and data scientist with nine years’ experience bridging academic research and industry applications in explainable AI, generative models, and computer vision. Holding a Doctor of Engineering focused on XAI, microscopy, and 3D image regression, she developed novel XAI methods for U-Net and applied CNNs to estimate and correct optical aberrations in bioimaging. At Telekom MMS she advises clients on GenAI and CV solutions, builds GPT-based chatbots with Azure OpenAI, and leads teams while overseeing hiring and quality evaluation. Her background includes impactful research at Max Planck and practical deployments in mobile biometrics at Samsung, reflecting a rare blend of deep methodological expertise and production-oriented delivery. Colleagues note her knack for turning complex microscopy problems into interpretable, deployable systems—a skill she continues to apply to logistics, manufacturing, and enterprise AI use cases.
9 years of coding experience
7 years of employment as a software developer
Doktoringenieur (Doctor of Engineering), Computer Science, Doktoringenieur (Doctor of Engineering), Computer Science at Technische Universität Dresden
Bachelor of Science - BS, Applied Mathematics and Physics, Bachelor of Science - BS, Applied Mathematics and Physics at Moscow Institute of Physics and Technology (State University) (MIPT)
English, German, Russian