I build LLM applications and RAG systems — fine-tuning open-source models, designing retrieval pipelines, and shipping chatbots end to end. Background in EEG / brain-computer interface research, recognized with a Gold Medal at the 4th World Invention Competition.
I started in EEG and brain-computer interface research — work on a brain electric field recording system earned a Gold Medal at the 4th World Invention Competition (IFIA, 2024). That background in signal processing shapes how I now approach LLM systems: paying attention to what's actually happening under the hood, not just surface behavior.
Today I focus on LLM applications and RAG — fine-tuning open-source models, building retrieval pipelines, and shipping conversational products from a blank page to real users. Before AI, I spent several years in IT and technical support, which is where the problem-first, hands-on habits come from.
Conversational career-guidance assistant built for the competition.
Early version of the psychology chatbot that later became the Ravansha product.
ECG-focused AI assistant; built but the competition entry wasn't finished.