Summary
Nijat Ibrahimov is a software engineer with nine years’ experience at the intersection of embedded systems, state estimation, and medical imaging, currently working on tomographic ultrasound and medical image processing at PIUR IMAGING in Munich while completing a Master's in Biomedical Computing at TUM. His background spans flight-control firmware and multi-sensor fusion to deep learning–driven segmentation and visual SLAM, reflecting a rare blend of low-level real-time engineering and higher-level computer vision research. He wrote a master’s thesis on semi-automatic thyroid nodule segmentation and now contributes to production-grade medical software that bridges research models and regulatory-aware clinical tools. Comfortable in both startup and academic settings, he brings practical experience shipping control systems and ML-based imaging features into deployed products.
9 years of coding experience
4 years of employment as a software developer
Master's degree, Biomedical Computing, Master's degree, Biomedical Computing at Technical University Munich
Master of Engineering (MEng), Control and Systems Engineering, Master of Engineering (MEng), Control and Systems Engineering at The University of Sheffield
Turkish, Azerbaijani, English, Russian, German