Agentic engineering
Autonomous workflows with explicit state, observable failures, and human judgment at the right points.
AI engineering / a connected practice
I build the systems that help engineering teams turn AI into dependable, everyday work.
Select a node to explore.
The projects, in detail
From stalled prototype to repeatable delivery.
Team knowledge that travels between tools.
The handoff is part of the product.
Useful software inside real constraints.
Where my curiosity goes next
Autonomous workflows with explicit state, observable failures, and human judgment at the right points.
Portable context, useful tooling, and systems that teams can operate and extend without their creator.
Probability, incentives, feedback loops, and the difference between a good decision and a lucky outcome.
Runnable examples, concise documentation, and teaching that changes how people actually work.
An unconventional path
I'm a full stack consultant at Slalom, working across agentic delivery, developer platforms, and enterprise software. My work runs from discovery and architecture through implementation, security, release engineering, and the handoff to people who will operate it.
Before software, I spent more than a decade as a professional poker player and won a World Series of Poker bracelet. That experience still shapes how I work: model the system, question the assumptions, and make the best decision the evidence supports.
Probability, independent study, and decisions under uncertainty. World Series of Poker bracelet winner.
Full stack training at Bloom Institute of Technology and development at Range Trainer Pro.
At Slalom since June 2022. Transfer to AI Engineering and promotion to Senior in progress.
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AI engineering, agentic systems, developer tooling, or a problem worth thinking through.
cbianchi@protonmail.com