Industrial IoT Data Platform
PROBLEM
A fleet of 40,000 industrial monitoring devices producing telemetry with no unified platform to store, analyze, or act on it — and cloud costs growing unchecked.
APPROACH
Designed a streaming ingestion pipeline — TCP RTU and Azure Service Bus feeding Microsoft SQL Server — with ML-driven forecasting and AI integrations (Azure OpenAI, Claude) on top, and a customer portal on Kubernetes. Instituted CI/CD with Cypress end-to-end testing and a NIST-aligned security program.
OUTCOME
14TB of analytics-ready telemetry. Cloud spend cut 50%. Audit-ready NIST compliance and automated release pipelines the team runs without ceremony.
Azure · SQL Server · Kubernetes · .NET Core · Angular · Service Bus · ML forecasting · Azure OpenAI / Claude