Series

AI and Data Automation

Trace automation boundaries from data collection and serverless processing to retrieval and LLM validation.

1. 01Designing a Python Data Collection and Automation PipelineA practical design note that connects Python syntax, virtual environments, Pandas processing, web crawling, and Open API calls into an automation pipeline.
2. 02Daily Compass: Designing a Serverless Azure Data PipelineA record of designing Daily Compass with Azure Static Web Apps, Functions, Cosmos DB, Private Endpoint, and Application Insights.
3. 03Connecting AI/LLM Workflows with Cloud PlatformsA platform-oriented note on connecting LLM workflows, retrieval, task automation, backend APIs, data stores, and observability.