I build systems to help real decisions happen — not just predictions.
My background is in manufacturing, where data existed but decisions still relied mostly on experience. That gap is what got me into AI — not the other way around.
I started with a small rule-based tool to allocate orders across machines. It worked until complexity grew. That limitation pushed me to study AI more seriously — and eventually brought me back to the original problem with better tools.
OptiMoldIQ is the result: a task-specialized multi-agent system for production planning and monitoring, where each agent handles a distinct role — data collection, progress tracking, analytics, planning — communicating through a shared database rather than direct messaging. The orchestration is deterministic by design because in manufacturing, correctness matters more than flexibility.
It was built around a real problem. But also with assumptions — because building alone means fewer constraints, less friction, and no one pushing back on your decisions.
That's what I'm looking for next: real environments where systems meet real users, real edge cases, and real feedback.
🌐 Reach out to me!
- Production planning systems
- Operational decision support
- Multi-agent orchestration
- Applied AI for structured environments