Projects

Why I Built This Over the last 15+ years, I’ve worked with engineering teams of different sizes, technologies and maturity levels. Moreover I also got an opportunity to work in customer facing roles where I directly interacted with C-Suite executives. The tech stack changed. The cloud providers changed. The CI/CD tools changed. Processes, culture and philosophy around Enginering changed. But one thing stayed remarkably consistent. Developers rarely spent most of their time writing code. ...

The Continuous Quality Platform Building Quality Into the Developer Platform — Instead of Testing It at the End Over the years, while working with startups and enterprise teams across different organizations, I’ve seen very different approaches to developer experience. Some teams invested early in strong developer platforms that made local development and testing almost effortless. Others chose not to invest much in local developer environments—often for a perfectly reasonable reason: “We’re building an MVP. We need to show value to the business now, not spend weeks building internal tooling.” ...

From Dashboards to Decisions: Building an AI-Powered Microservices Troubleshooting System Using Strands Agents, CloudWatch and a locally hosted Llama 3.1 8B model on Amazon EC2 What if your monitoring system could do more than tell you that something is broken? What if it could investigate the evidence, connect related failures, explain what is likely happening, recommend the next action — and, for carefully controlled cases, even remediate the problem? This is the problem I wanted to explore in my microservices environment. ...

Cloud Waste Doesn’t Happen Overnight How I stopped treating cloud governance as an audit and started treating it as an engineering workflow. During my early years working with AWS environments, I assumed cloud governance was something teams reviewed every few months. A security assessment, cost optimization exercise OR a compliance report before an audit. The process always looked similar. Run a few scripts —> Export a spreadsheet —> Raise a list of findings —> Assign them to different teams —> Wait for them to be fixed. ...