About

Hi, I’m Nagendra. I’m a Gen AI Solution Architect in the Data Science and Gen AI practice at Sahaj Software, based in Bengaluru.

I’ve spent over two decades in IT, the last eight or so focused on AI and ML. My work has moved from traditional machine learning to LLMOps, retrieval-augmented generation (RAG) and agentic workflows, across Azure, AWS and Databricks. Before Sahaj, I worked at NetApp, LTIMindtree, Turing and Encora.

What you’ll find here

This blog is where I write up what I’ve built and what I’ve learned along the way:

• Copilots and agents: orchestration, routing, evaluation and what changes once real users arrive
• RAG in practice: from simple pipelines to systems that need to stay accurate over time
• LLMOps and platform work, including migrations between clouds
• Recommender systems and demand forecasting at scale
• Vision-language models, from my own upskilling projects

Posts come from real work: client engagements, internal talks, research and side projects. Each one tries to give you the architecture, the trade-offs, and what I’d do differently next time.

Education

• Master’s in Data Science, Liverpool John Moores University (LJMU), UK
• PG Diploma, IIIT Bangalore

A note on client work

Some posts draw on client projects. In those, client names, data, and any identifying details are removed or generalised. The patterns and lessons are what matter.

Views here are my own and don’t represent my employer or its clients.

Get in touch

The best place to reach me is LinkedIn, or email hello@inuguri.com.