Pinaki Mukherjee
Data & AI platform engineer
I build data & AI platforms.
And share what happens in between.
I work on data, AI, cloud and platform engineering, usually where things are complex, messy, and still being figured out. I'm especially interested in how these areas come together and how we can make platforms simpler to build, operate and use.
This is where I share what I'm building, what I'm learning, and the ideas I'm working through. Mostly practical, often unfinished, and usually based on something I've actually tried.
What I'm building
Things I'm tinkering with.
Open-source tools I'm building in the open - some further along than others.
Harrier EMR MCP
Evidence-backed initial diagnosis for EMR on EC2, Serverless, and EKS. It reads the logs so the on-call engineer doesn't have to.
Merlin AI Ops
An agentic operations platform for AWS-native AI teams. Still very much in the workshop - Bedrock, Step Functions, and a lot of open questions.
Writing
Things I've written down.
I tested Fable 5 on a real engineering project. Here is what happened.
A real-world stress test of Fable 5 on an active, mid-size project - 32k lines of code, AWS serverless, agents, Terraform. What worked, what didn't, and where long-running AI coding actually earns its cost.
Landing Zones - Part 1: What, Why, How
A practical guide to what a Landing Zone is, why every organization needs one, and the twelve key components you must plan for - from accounts and identity to pipelines and cost control.
Managing your network CIDRs across multiple AWS accounts in a Control Tower setup
How to use AWS IP Address Manager (IPAM) in a Control Tower environment to centrally plan, allocate, share, and monitor VPC CIDRs across accounts, regions, and AZs - manually and with Terraform.
Say hi
Working on something at the data / AI / platform seam?
I like comparing notes. The easiest place to reach me is LinkedIn.