Agentic AI
Designing and leading production-grade agent workflows, assistants, and evaluation strategies.
AI, data, and software engineering leader focused on turning emerging technology into useful, responsible products.
Sarath has around 20 years of experience across software engineering, data platforms, analytics, and artificial intelligence. His current work centers on agentic AI, engineering leadership, production architecture, evaluation, security, governance, and the practical adoption of AI-assisted development.
LLMasJudge started from a simple need: give developers a clear, provider-independent way to evaluate AI responses, RAG systems, and agents without rebuilding the same foundations for every project.
Designing and leading production-grade agent workflows, assistants, and evaluation strategies.
Building the platforms and integrations that ground AI systems in reliable enterprise data.
Applying security, governance, human review, cost controls, and measurable quality standards.
Helping teams adopt AI development tools while keeping strong review and delivery practices.
Purdue University
The University of Texas at Arlington