Cloud Engineer passionate about automation, scalability, and AI. On a journey to become an MLOps Engineer—bridging the gap between machine learning and reliable deployment. Sharing what I learn along the way.
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Jul 21, 2025 · 3 min read · Welcome, DevOps Learners! In this hands-on series, we’re learning by building. No boring theory—just real projects, exactly how they are built in production. We’ll start simple, deploy PostgreSQL on a local Kubernetes cluster using KIND, and scale ou...
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Jul 20, 2025 · 2 min read · 🧱 Part 1: Introduction + Project Overview What we are building and why Why Kubernetes for PostgreSQL? DevOps skills we'll learn: GitHub Actions, KIND, K8s, S3 backups, CI/CD System Architecture (Diagram) ⚙️ Part 2: Setting Up KIND for Kubernet...
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May 29, 2025 · 3 min read · Introduction Welcome to the "Math Meets Machine learning" blog series. This series are designed to provide a clear and structured path for beginners seeking to understand the fundamentals of machine learning (ML). Machine learning is a rapidly growin...
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May 6, 2025 · 3 min read · 🚀 Introduction In software development, CI/CD (Continuous Integration & Continuous Deployment) is the engine of automation. It ensures every new change is: Integrated automatically Tested thoroughly Deployed confidently But in Machine Learning,...
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May 3, 2025 · 3 min read · Introduction In traditional software development, we track changes to code using Git.But in Machine Learning, it's not just about code — it's also about: Datasets (which can be huge and constantly updated) Model files (which are often too large for...
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