Applied AI Researcher dedicated to weaving LLM Agents & System Automation into the fabric of daily life and work. Driven by a bold, practical philosophy: "Why do it the hard way when we can let AI handle the heavy lifting?"
The problem: Technical tools often live in isolation—brilliant AI engines without intuitive user workflows, or complex setups without robust automation support.
My approach: I call it "Fingerspitzengefühl"—an intuitive feel for both the technical AI orchestration and the end-user experience. Blending rigorous fundamentals in Computer Science (UoL) with analytical models from Economics & Finance (LSE), I build AI systems that don't just execute commands—they enrich user capabilities.
Why automate? "Why do it the hard way when we can let AI handle the heavy lifting?" I believe in mixing AI deeply into daily life—not as distant theoretical concepts, but as reliable, silent partners that take over repetitive and complex friction, unlocking human creativity for what truly matters.
Personal essays and quiet logs reflecting on the human experience, daily life perspectives, practical philosophy, and finding balance in a high-tech world.
ACCESS_PORTAL →An in-depth, plain-language handbook detailing Claude Code integration, dynamic Model Context Protocol (MCP) server creation, and robust custom skills design.
ACCESS_HANDBOOK →Architecting a multi-platform FinTech product using Flutter and Python. Leveraging Applied AI, async workflows, and data orchestration to deliver production-ready automation.
SEE_QUALIFICATIONS →