Nallan Chakravarthula Raghunandan
I am an AI-focused Site Reliability Engineer with experience building intelligent automation for incident management, root cause analysis, release operations, customer support, and enterprise search.
About
I am an AI-focused Site Reliability Engineer with experience building intelligent automation for incident management, root cause analysis, release operations, customer support, and enterprise search. At Zuora, I have developed practical agentic AI solutions that reduce alert noise, accelerate incident response, streamline RCA workflows, and improve support team efficiency. I enjoy combining Python, structured data, knowledge graphs, large language models, and workflow automation to solve complex operational problems.
- 2 years' experience
- Joined September 2026
Industry experience
- Computers & Electronics
- Software & Internet
- Education
- Energy & Utilities
Work experience· 8 roles
Developed an intelligent enterprise search platform supporting semantic and structured search across multiple data sources. Built an LLM-based multi-intent search planner to route queries across semantic search, SQL lookup, and direct retrieval. Designed a NebulaGraph knowledge graph containing metadata and relationships across different sources, improving query accuracy by 65%.
Developed Zendesk automation that classifies tickets, answers support queries, drafts first responses, and analyzes historical cases. Built agents to perform ticket-level root cause analysis, convert closed tickets into a reusable knowledge base, surface trend insights, and export reporting outputs. Integrated Grafana and PlayerZero MCP context to improve support assistance.
Built a release management agent using structured release data, Jira and JQL context, Slack workflows, scheduled jobs, and notification routing. Implemented environment and product-feature filtering, change-management ticket analysis, reminders, escalations, on-demand reporting, and dynamic cron-job generation for proactive release updates.
Education
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