← Work

AI and MLOps delivery automation

Moving AI capabilities from internal prototypes into observable, controlled engineering workflows.

Professional scope

An enterprise team was introducing AI-assisted capabilities into existing analytics and engineering workflows.

My responsibilities

I owned architecture and production delivery for an enterprise AI assistant over eighteen months within my Vriksh consulting tenure. My work also included AI platform implementation and production support.

I connected models to approved tools and data, added deployment controls, supported production debugging and helped define reliable operating boundaries.

PythonFastAPILLMsMLflowDockerKubernetesCI/CD