At autoMEE, I’m leading an end-to-end multimodal embedding project for a recommendation system and developing workflow automation and Model Context Protocol integrations. I’ve also built production chatbots using the OpenAI API.
For NeuroGuard-AI, I was the lead developer of an EEG-based biometric authentication system that achieved 90%+ accuracy. I implemented its machine-learning pipeline and co-authored a modular codebase with a team of five researchers.
I architected and led BrainBoard, an end-to-end brain-computer interface system for hands-free text input, and developed JuryApp for Heroes of the Brain 2025. Through KN Neuron, I’ve also coordinated the hackathon and organized workshops on EEG signal processing, machine learning, and brain-computer interfaces.
