Summary
Aleksandra Babicheva is a Computer Vision Engineer with nine years of industry experience and four years focused on deep learning solutions from data collection through deployment. She specializes in 2D and 3D computer vision, generative AI, Transformers, GNNs, and state-of-the-art segmentation and detection, and recently defended a master’s thesis on 3D reconstruction at TUM’s 3D AI Lab. Her production experience spans face detection, landmark localization, semantic segmentation and pose estimation, and she has built internal tool repositories and conducted regular paper reviews to keep teams current. Currently based in Munich, she balances roles at ImFusion and an active vision internship while seeking full-time positions in 2D/3D vision across Germany. Notably, she combines research-grade methodology with production engineering—turning recent publications into deployable systems.
9 years of coding experience
2 years of employment as a software developer
Master's degree, Data Engineering and Analytics, Master's degree, Data Engineering and Analytics at Technical University of Munich
Бакалавр, Software Engineering, 7,6 out of 10, Бакалавр, Software Engineering, 7,6 out of 10 at Высшая Школа Экономики
English, Русский, German