10+ years building software systems, now transitioning into research-oriented AI engineering. Bringing a decade of engineering rigor to the frontier of Gen AI. The Transition: Moved from traditional systems and platform engineering into applied AI research, combining hands-on production experience with a research mindset for solving novel problems. Platform & AI Engineering: Hands-on experience with platform engineering, MLOps pipelines, Claude Code, MCP servers, and agentic AI systems, building the infrastructure that makes AI systems reliable and scalable in practice. AWS & Cloud: AWS Certified Developer Associate with hands-on expertise across Lambda, EventBridge, ECS, S3, OpenSearch, and other core AWS services, powering scalable, production-grade systems. Observability & Reliability: Applying strong observability and monitoring principles to AI systems, because production-grade AI needs the same rigor as any critical software system.