Hello, I’m Pragith.

I build systems for the point where plans meet production.

I’m an AI Forward Deployed Engineer, consultant and educator. For more than fourteen years, I’ve worked across data platforms, applied AI, cloud infrastructure and the stubborn production problems between them.

AWS · Google Cloud · Azure · Databricks · Python · SQL · R

Pragith Prakash smiling outdoors

A career spent between disciplines.

I started in data analysis and backend systems, moved through data science and consulting, and eventually found myself responsible for the larger machinery around the work: cloud platforms, delivery pipelines, observability, governance and the long tail of production support.

Today, most of my work sits between AI engineering and data platforms. I may be designing a model-and-tool workflow one day, tracing an unreliable pipeline the next, and helping a team make sense of the architecture after that.

Cloud, MLOps and DevOps are part of that work because useful systems must be deployed, watched and owned. Teaching is part of it too; explaining an idea to a classroom or an engineering team is one of the fastest ways to discover whether it actually holds together.

Selected work

A few stories from the systems behind the screens.

There are more case studies here. Names are withheld, but the constraints, architecture and responsibilities are real.

What I’m making and learning from.

Velvet IPTV Player — A cross-platform IPTV and STB media player with native support for Stalker Portals and Ministra.

Headmaster — A portable, OIDC-gated administration interface for Headscale with nodes, users, routes, policy and audit workflows.

Caffeinate-d — A small native macOS menu-bar wrapper for the system caffeinate command.

Agent Keyboard — A browser interaction prototype for a tactile coding-agent control deck. The CLI bridge is not implemented.

I also keep an older writing archive and occasionally publish notes, talks and conversations when they are worth keeping in public.

Say hello

If something here overlaps with a problem you are working on, I’d be glad to hear about it.

Write to me or find me on LinkedIn and GitHub.