About Me

My career has moved through Mojo Networks, Arista Networks, and now Broadcom (formerly VMware), and along the way I've grown from building backend REST APIs to designing agentic AI platforms that reason over real production data. I care most about the point where solid backend engineering meets genuinely useful applied AI — systems that are fast, reliable, and actually save people time.

At Broadcom, I work on an agentic root-cause-analysis platform built with Google ADK, Gemini 2.0 Flash, and Qdrant that analyzes customer support bundles and generates root cause reports, cutting investigation time from hours to under 2 minutes. I also built a code intelligence layer using tree-sitter AST parsing that indexes 30,000+ symbols, and an open-source MCP server (built with FastMCP) that lets engineers interact with network infrastructure in natural language — featured at VMware Explore US 2025. Earlier work includes a RAG-based AI assistant for product documentation, presented at VMware Explore Singapore 2023, and an ML-powered CI/CD log analyzer that reduced manual triage by 80%.

Before that, at Arista Networks I built analytics dashboards and led PostgreSQL/MongoDB cluster migrations, and at Mojo Networks I built backend REST APIs for enterprise wireless network management using Python, Django, and PostgreSQL.

I hold an M.Tech in Computer Science (Data Engineering) from IIIT Delhi (2011–2013), and I'm based in Bengaluru, India.