Vinay C · Staff Software Engineer · Intuit
The hard part of AI isn't the model. It's everything around it.
I'm Vinay — 14 years, five companies, tens of millions of users. I build the evaluation harnesses, golden datasets, and guardrails that make generative and agentic AI trustworthy in production. Everything I learn goes into the notebook below, free.
Latest from the notebook
All notes →Evaluating a RAG Pipeline with Ragas: A Minimal Working Example
Part 3 of a series on evaluating LLM apps with Ragas.
NotesRAGA Framework, Part 2: Four Metrics That Reveal Why Your RAG System Is Failing
Part 2 of a series on evaluating LLM apps with Ragas.
NotesRAGA Framework, Part 1: Why and how can you evaluate your LLM App?
Part 1 of a series on evaluating LLM apps with Ragas.
LLM FundamentalsZero Token Architecture: AI engineers should always start with this!
This weekend I watched this talk on Zero Token Architecture:
Systems & CloudHow I Would Design Google Drive at Scale (A System Design Case Study)
Google Drive System Design By Vinay C infographic
LLM FundamentalsTabular Foundation Models Explained: The Missing Piece I Didn't Know Existed
Over the last few days, I spent some time reading about Tabular Foundation Models (TFMs). At first, I assumed they were just another machine learning model. Th…
Systems & CloudIRCTC’s redesign: what may have changed behind the scenes to handle 10x scale
IRCTC’s recent redesign caught my attention, but not because of the new UI.
Models are commodities. Judgment is not.
The advantage was never the LLM you picked. It's the eval harness, the golden datasets, and the guardrails that tell you — reliably, daily — when the system is wrong.
Work with me
For teams
Consulting
RAG evaluation, agentic systems, architecture reviews, and getting a team productive with AI tooling — grounded in what actually breaks in production.
Consulting →For engineers
Mentoring
A resume torn apart, real mock interviews, and someone keeping you honest month to month as you move into AI engineering.
Mentoring →For hiring managers
Track record
Case studies of work shipped at Intuit, Microsoft, and SAP — GenAI regression evaluation, platform reinvention, and a granted patent.
Case studies →