About

A systems-minded approach to useful AI.

I design the conditions that help enterprise automation and AI-agent systems move from promising prototypes to dependable practice.

Profile

Current focus

I lead solution architecture for enterprise automation and AI programs, connecting technical strategy, governance, and delivery.

Career

My path spans software development, applied machine learning, automation engineering, agentic AI architecture, and technical leadership.

Community

I contribute through technical writing, public speaking, the UiPath Dallas community, Toastmasters, and volunteer teaching.

Education

M.S. in Computer Science from San Francisco Bay University, with undergraduate studies at Jawaharlal Nehru Technological University, Kakinada.

Niche expertise

Agentic Automation Architect

Enterprise-grade AI agents for business process automation - designed, delivered, and operated with governance.

  • Enterprise AI agents that reason, use tools, and execute business workflows
  • Agentic automation combined with RPA, APIs, ERP, CRM, ITSM, and document workflows
  • Multi-agent orchestration and human-in-the-loop systems
  • Reliability, evaluation, observability, security, governance, and auditability
  • Reusable architecture patterns, frameworks, and automation methodologies
  • Measurable enterprise outcomes from AI-enabled automation