About Me

I'm an AI engineer who likes turning ambitious ideas into tools people can actually use. My work sits between machine learning, agentic systems, computer vision, and product engineering, with a strong focus on making technical systems feel clear, reliable, and practical. My current research and development focus is Monaw, a local-first Windows AI agent that works inside the user's machine with controlled access to files, shell commands, browser automation, memory, schedules, and MCP tools. Building it has sharpened how I think about permissions, orchestration, tool use, and dependable desktop automation. I have also built applied AI products across different domains, including Budgie for personal finance, ThinkStorm for AI-assisted ideation, medical imaging models for MRI and X-ray analysis, and real-time computer vision workflows. Those projects taught me to connect model performance with product experience, not treat them as separate concerns. Outside engineering, photography keeps me attentive to composition, timing, and detail. That creative habit carries into how I design interfaces and shape the feel of the products I build.