Full-Stack Developer | AI & EEG Signal Processing

Gained hands-on experience with clinical EEG acquisition, recording setup, noise reduction, patient preparation, and electrode impedance management. Operated Nihon Kohden EEG software and developed a deep learning-based EEG classification system for seizure prediction using CNN and LSTM architectures.

Developed core features for a Web3-based application using Node.js, PostgreSQL, REST APIs, and React. Built referral and affiliate systems, secure account management, transactional email workflows, and responsive UI components while participating in sprint planning and code reviews.

Developed a complete service web application, designed and managed APIs, set up database structure with MongoDB and AWS, implemented authentication and authorization, integrated Stripe payments, and customized Bootstrap templates.

Taught children robotics fundamentals, simplified complex concepts, provided hands-on training with electronic components, and encouraged problem-solving through interactive projects.

Specialized in pattern recognition, machine learning, and AI-driven document and signal classification systems. Thesis focused on deep learning-based EEG classification for epileptic seizure prediction.

Completed undergraduate studies in computer information systems.