Staff Software Engineer | 14+ Years Experience | Architecting Trustworthy Agentic AI @ Intuit I am a seasoned Staff Software Engineer with over 14 years of experience in designing, automating, and maintaining highly available systems across cloud-native and hybrid environments. Currently at Intuit, I am architecting Agentic AI solutions focused on resolving complex user issues at scale. My mission is to bridge the gap between Generative AI capabilities and production-grade reliability by: • Establishing AI Trust: Defining rigorous evaluation frameworks and safety metrics for accurate agentic responses. • Real-time Observability: Engineering automated strategies to validate AI performance against live success metrics. • High-Scale Knowledge Engineering: Architecting scalable ingestion pipelines for high-precision, secure knowledge utilization. Core Expertise: • GenAI & Distributed Systems: RAG-based apps, Knowledge Graphs, MCP servers, Microservices (Python, FastAPI, Docker, K8s). • Reliability & Automation: CI/CD, operational runbooks, and proactive observability (Splunk, Grafana). • Infrastructure: Extensive experience in AWS/Azure and high-scale migrations from my previous roles at Visa and TCS. I am a hands-on leader with experience managing global teams of 50+ and a deep passion for building resilient SaaS applications and mentoring the next generation of engineers.