After completing Codeboxx's AI for Developers certification, I engineered a full-stack operations platform for Rocket Elevators that monitors 45,000+ elevators across Canada in real-time.
This case study walks through how I integrated predictive risk scoring, multi-agent NLP, and real-time data pipelines into a production system. You'll learn about the architecture decisions, the tech stack (Go, Python, PostgreSQL), and how to move from prototype to 100% accuracy in routing.
Whether you're building AI systems or scaling infrastructure, this breakdown will show you what enterprise-grade implementation actually looks like.
Repo: https://github.com/Juanpacol/rocket-elevators-dashboard
source & further reading
dev.to — original article
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