Ugochukwu Duru

Machine Learning Engineer @Mind Storms

London, GB

Proficient in signal processing techniques, including filtering, feature extraction, and classification, with hands-on experience in EEG, fMRI, and MEG data analysis. Skilled in preprocessing neural data and removing artifacts to improve signal quality for accurate analysis. Developed machine learning models for classifying and analyzing EEG signals in brain-computer interface (BCI) systems, employing advanced feature extraction methods such as time-frequency analysis, event-related potentials, and neural oscillations. Experienced in designing and implementing quantum computing algorithms to decode brain signals, enabling the generation of synthesized speech from neural activity. Developed large language model (LLM) tailored to assist individuals with physical disabilities by interpreting and responding to their needs. Utilized cutting-edge NLP techniques to create an intuitive communication interface, enhancing users\' quality of life through personalized and empathetic assistance.