https://vaishnavmhetre.github.io/Recent content on Vaishnav MhetreHugoen-USMon, 28 Sep 2026 00:00:00 +0000https://vaishnavmhetre.github.io/posts/how-this-site-is-built/Mon, 28 Sep 2026 00:00:00 +0000https://vaishnavmhetre.github.io/posts/how-this-site-is-built/Notes on moving this site’s diagrams to render at build time instead of in the browser, and on the three classes of bug that only showed up once something was measured properly.https://vaishnavmhetre.github.io/about/Thu, 24 Sep 2026 00:00:00 +0000https://vaishnavmhetre.github.io/about/Platform engineer with ~7 years of experience building data-delivery systems on GCP — binary data pipelines, prediction-service migrations, and AI-driven initiatives. The portfolio is the frame, not the painting — pointing at LinkedIn and GitHub.https://vaishnavmhetre.github.io/case-studies/binary-data-delivery/Thu, 24 Sep 2026 00:00:00 +0000https://vaishnavmhetre.github.io/case-studies/binary-data-delivery/A case study about querying retail measurement data out of databases and delivering it as binary payloads through a delivery pipeline — filters, enrichments, and file handling at scale.https://vaishnavmhetre.github.io/case-studies/ai-initiatives/Thu, 24 Sep 2026 00:00:00 +0000https://vaishnavmhetre.github.io/case-studies/ai-initiatives/A case study about engineering the data and delivery foundations that AI-driven initiatives depend on — reusing the pipeline, not rebuilding bespoke paths.https://vaishnavmhetre.github.io/case-studies/prediction-services-migration/Thu, 24 Sep 2026 00:00:00 +0000https://vaishnavmhetre.github.io/case-studies/prediction-services-migration/A case study about supervising the migration of prediction services — such as a pricing forecast backend — onto a shared delivery pipeline, and making them robust.https://vaishnavmhetre.github.io/posts/welcome-zero-cost-static-site/Thu, 24 Sep 2026 00:00:00 +0000https://vaishnavmhetre.github.io/posts/welcome-zero-cost-static-site/A practical note on choosing GitHub Pages, GitHub Actions, and Hugo for a personal engineering site that stays inexpensive to run and easy to own.