About

I'm a Senior Data Engineer on the Amazon Kindle team in Seattle. Over the past 7 years at Amazon, I've built data pipelines and infrastructure that power publisher payments, book attribution systems, and the analytics behind Kindle Unlimited — work that directly enabled the launch of Magazine benefits for millions of readers.

Before Amazon, I spent nearly four years as a Senior Business Analyst at TRUNO (Retail Technology Solutions), and before that as a Software Engineering Analyst at Accenture, working on data warehousing for Kohl's. I've been in data long enough to know that the hardest problems are never technical — they're semantic.

My academic background is in Electronics and Communications Engineering (NMIMS, Mumbai) with a Master's in Management Information Systems from Texas Tech University (GPA 3.9). That combination — engineering fundamentals plus systems thinking — shapes how I approach every data problem.

Right now I'm deeply interested in the gap between AI demos and AI in production. I experiment with MCP servers, local LLMs, self-hosted infrastructure, and AI agents — not to chase hype, but to understand where these tools actually break down and what it takes to make them reliable. This blog is where I document what I find.

When I'm not engineering, I volunteer as a Project Manager with Bachhpan, a child welfare organization I've been involved with for over 15 years.

Find me on X, LinkedIn, or Bluesky.