Own end-to-end Fortune 500 enterprise software deployments from SOW signature through implementation, go-live, change management, value realization, and expansion. Coordinate Product, Engineering, AI, Operations, Sales, and client stakeholders; translate technical complexity into operational outcomes; define ROI and success metrics; lead executive alignment and QBRs; convert bespoke delivery work into scalable playbooks, dashboards, and templates; and communicate customer insights to influence product priorities.

Own the architecture, deployment, reliability, observability, and cost efficiency of production AI/ML infrastructure on GCP. Build model serving systems, reproducible ML pipelines, GitOps promotion workflows, and multi-tenant Kubernetes platforms. Operate LLM and agentic workloads, manage GPUs and autoscaling, define SLOs, monitor drift, and improve inference performance. Apply Terraform, CI/CD, and SRE practices to automate infrastructure and support reliable real-time and batch inference at enterprise scale.