Do not read a flat CV. Pick a lens, ask a real problem, then inspect the proof behind the answer.
Founder, builder, engineer or recruiter. The page adapts to the question in your head.
Give the twin a messy AI/product problem and see how I would reason.
Every answer points back to shipped projects, constraints and outcomes.
Built from the ground up, 7 years in industrial engineering, then AI systems at scale. Not a theorist: I design, build and ship production AI agents, open-source infrastructure and original products, then measure what actually moves.

Intent-based routing across LLM models and tools, with per-request cost tracking.

Mac-native platform automating the full A-level job search chain.

Real-time voice AI agent for enterprise outbound automation.

Full agentic runtime with memory management, MCP integration and tool orchestration.

npx wonka-audit, analyzes how teams actually use AI.

Observes your behavior, detects repetitive tasks, generates agents.
Entrepreneurial community helping anyone launch a side business. Scaled through organic content on X, weekly events and a training platform with external speakers. Fully organic acquisition.
Eco-tech startup cutting digital pollution: cleaning inboxes and turning deleted data into carbon-credit opportunities. Built the algorithm, structured the business model, validated demand in 7 days.