Design and operate a low-latency AI anomaly detection API for streaming data—architecture, models, thresholds, evaluation, and operations.
A practical guide to designing an AI churn prediction API—architecture, data/modeling choices, endpoints, MLOps, metrics, and code examples.
A practical, end-to-end guide to using event sourcing in API-based microservices, with design tips, code snippets, and operational best practices.
Build an AI-powered invoice processing pipeline with code, validation, webhooks, and ERP mapping—ready for production.
Build a production-ready GraphQL federation gateway: compose subgraphs, resolve entities, add auth, performance, and deployment patterns.
Design, build, and scale an API-driven data labeling pipeline with quality gates, active learning, and strong governance.
