@kalyandahake

📱 Don’t Throw it Away! How I Turned My Old Phone into a Web Server

Jan 13 · 3 min read · We all have that one old Android phone lying in a drawer. It might be too slow for modern apps, but it’s actually a powerful, low-energy computer. Instead of letting it collect dust, I decided to turn mine into a live web server for my portfolio. If ...

From PDFs to Vectors: Building a Production-Grade LLM Ingestion Pipeline on AWS (Handling Data Drift the Right Way)

Dec 24, 2025 · 4 min read · Large Language Models are only as good as the data you feed them.In real systems, that data never stays static — new documents arrive continuously, formats change, and pipelines must adapt automatically. In this blog, I’ll walk through how I built an...

🚀 Building a Simple MLOps Pipeline from Scratch (for Software Engineers)

Dec 21, 2025 · 5 min read · backend / DevOps engineer. I understand APIs, Docker, CI/CD — but ML feels confusing.”If that sounds like you, this blog is for you. In this post, we’ll build and understand a basic MLOps pipeline using open-source tools, without ML math or theory o...

🛡️ DevSecOps Infrastructure for ML Pipelines on AWS

Jul 12, 2025 · 3 min read · As ML pipelines mature from experiments to production systems, security, compliance, and automation become mission-critical. In this blog, we’ll break down how we built a DevSecOps infrastructure for machine learning workloads on AWS — with security-...

🚀 Building a Secure MLOps Pipeline with Kubernetes on AWS

Jul 12, 2025 · 3 min read · Machine Learning models are only as powerful as the systems that deploy and manage them. In this blog, we walk through the creation of a production-ready MLOps pipeline using MLflow, Docker, Kubernetes (EKS), Terraform, and security tools like Trivy ...