Hello, I’m Pragith.

I take AI and data systems from architecture into production.

I’m an AI Forward Deployed Engineer, consultant and educator. For more than fourteen years, I’ve built data platforms, AI applications and cloud infrastructure, then stayed with the work through releases, incidents and operational handover.

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

Pragith Prakash smiling outdoors

I like the work between specialties.

I started in data analysis and backend development, moved through data science and consulting, and took on the systems around the models: cloud infrastructure, delivery pipelines, monitoring, governance and production support.

My current role often starts with an AI or data problem, but it rarely ends there. I design model-and-tool workflows, trace unreliable pipelines, write deployment code and help teams decide who will own the system after launch.

I also teach. Explaining statistics, Python APIs or cloud architecture to a room of learners has made me more careful about assumptions and much better at showing my work.

Work I can describe in public.

Client names stay private. The technologies, constraints and my responsibilities do not.

Browse all case studies.

Things I build outside client work.

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

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

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

Have a system that needs architecture, implementation or a difficult production fix?

Write to me or find me on LinkedIn and GitHub.