Hi, I’m Srinidhi Ramanujam, a consulting technologist based in Bangalore. I bridge the gap between enterprise finance and applied AI, building agents that work and platforms that last.
This site is a log of my technical deep dives, experiments curiosities, and the odd bit of fiction.
Currently focused on
- Building and measuring LLM workflows that ship
- Exploring retrieval and agent patterns with real constraints (cost, latency, failure modes)
- Logging the experiments, lessons, and reversals - and the odd bit of fiction
Explore the site
- Writing: Long-form essays on data platforms, AI, engineering leadership, and the systems thinking behind them.
- Fiction: Narrative experiments that keep my creative muscles honest.
- About: A concise bio and how I approach this work.
Spotlight
Spotlight
Lessons From a Year of Shipping LLM Analytics Products for Enterprises
Six pragmatic lessons from a year of shipping LLM-backed analytics products for regulated enterprises: workflow-first design, data contracts, evaluation, layered security, inspectability, and planning for vendor drift.