› Responsible for the implementation of 4+ projects in diverse sectors. › Developed whole ML systems: data pipelines, ML workflows, ML models, back-end and front-end design as well as implementation.

› Designed data-driven strategies for bio-process modeling. › Implemented state-of-the-art signal processing methods for spectroscopic data. › Introduced automatic model selection to boost performance and robustness.

› Conducted research on deep learning for real-time classification of brain signals. › Designed a visual interface to record EEG data and perform real-time inference.

› Reviewed Matlab code and exams from students of Computer Vision course. › Collected a benchmark dataset for long-term visual localization using Hololens.

› Proposed an algorithmic solution for face recognition with eyeglasses. › Developed a visual interface for testing on live webcam.