Notes on data engineering, pipelines, practical AI, and building things that ship
A short intro to how I think about systems: clarity over noise, feedback loops over dashboards, and what "production-ready" means in a world that changes weekly.
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ETL patterns, pipeline reliability, monitoring strategies, and production best practices.
Practical AI applications, automation workflows, and leveraging generative tools effectively.
Building engaging interfaces, experimenting with aesthetics, and shipping creative projects.
Pragmatic development, getting to production, and learning through iteration.