Navaneeth Kumar Buddi

About Navaneeth Kumar Buddi

AI-first SDE at @AWS. I use AI across my entire workflow: spec-driven development, agentic coding, and building AI agents that automate operational work for on-call engineers.50% of my work is AI-assisted development. The other 50% is building the agents themselves, Autonomous systems that investigate incidents, process ticket queues, and post root-cause analysis before any engineer opens the ticket.I take initiatives that make on-call life easier. If engineers keep doing the same thing manually, I automate it.Passionate about scalable systems, operational excellence, and proving that AI-first engineering ships faster and better.

Experience

1. Software Development Engineer

   Amazon Web Services (AWS)

   Mar 2025 — Present · Seattle, WA, US

   Integrated AWS DevOps Agent into team services, agent autonomously investigates alarms, traces root causes across accounts, and posts findings to tickets before any engineer intervenes. Now driving cross-org adoption and aligning teams on a shared framework• Developed agentic ticket automation that resolved 34+ tickets in week one with zero human intervention, saving 3 to 6 hours of on-call time weekly. Now driving org-level adoption across multiple teams• Championed AI-first practices: Spec-driven development, Agentic coding, and Standardized SOP frameworks• Established AI agent safety principles informed by production incidents: least-privilege, human-in-the-loop for high-risk operations, incremental trust• Designed custom IAM role management enabling enterprise customers to customize operator permissions across 6 access levels; migrated infrastructure from CloudFormation to CDK• Fixed high-severity security vulnerability where services accessed credentials across isolation boundaries; identified 12 at-risk configs across 4 teams, protecting 130+ customers• Scaled infrastructure 5x (108 to 500 req/s per region) for major launch. Identified bottlenecks and coordinated API limit increases across 3 teams• Led post-incident review for 1.78M delayed security events; diagnosed root cause in 52 minutes, reduced event volume 99%, increased throughput 6x• Resolved 7,479 tickets (58% of team annual volume) in 8 months; fixed production bugs, tuned monitoring, and improved deployment reliability

Education

• The University of Texas at Dallas

  Master of Science - MS, Computer Science

• GITAM Deemed University

  Bachelor of Technology, Computer Science and Engineering

  2016 — 2020