Summary
Alexandra Papadaki is a Lead Project Manager and machine learning engineer with 9 years of experience delivering AI-driven geospatial and remote sensing solutions across ESA, EU-funded and industrial projects. She combines hands-on expertise in deep learning (U-Net, SegFormer), large-scale satellite data pipelines and real-time robotics perception with proven program leadership—currently leading Greece’s first ESA InCubed project for a commercial monitoring platform. Her background spans optimization of multimodal sensor software (C++, Qt, Python), building deployable ML pipelines (Docker, CI/CD, ROS) and translating user feedback into technical requirements. She has published at top computer vision venues and consistently turns research prototypes into operational systems for environmental monitoring, maritime safety and urban planning. Notably, she boosted airborne image-matching performance by 96% at Leica Geosystems and led a >94% accurate 6D object detection pipeline for an EU H2020 robotics project. Based in Athens, she blends academic rigor from TU Berlin and NTUA with practical delivery of scalable, user-focused geospatial AI products.
9 years of coding experience
4 years of employment as a software developer
Master of Science (M.Sc.), Geodesy and Geoinformation Science, Master of Science (M.Sc.), Geodesy and Geoinformation Science at Technische Universität Berlin
M. Eng. Diploma, Surveying and Geoinformatics Engineering, M. Eng. Diploma, Surveying and Geoinformatics Engineering at National Technical University of Athens
High School Graduation Diploma, 19.5 (scale of 20), High School Graduation Diploma, 19.5 (scale of 20) at General Senior High School
Greek, English, German