Profile

Director, Developer & Platform Experience

Own and operate the developer experience platform serving multiple enterprise product teams across Moody's Analytics. Partner directly with engineering leads across business units to implement AI systems, diagnose adoption blockers, and drive platform onboarding from NPE through Canary to Production, responsible for outcomes, not handoffs. Drove adoption of AI-assisted development tools (Cursor, GitHub Copilot, Windsurf, Claude Code) and designed MCP server integrations across internal knowledge bases, API specs, and source repositories, expanding AI-native developer workflows at scale. Architected the MAP platform onboarding framework with clear NPE → Canary → Production readiness gates for Business Units adopting the Moody's Analytics Platform. Lead cross-functional execution across Platform Engineering, SRE, Security, and BU engineering teams. Guided Business Unit development and SRE teams onto MAP's standard observability stack (Datadog with PagerDuty integrations) and coordinated incident management with the MAP Core and SRE teams, since a platform-level outage cascades to every onboarded BU application.

AI Architect

Designed and shipped RAG pipelines, vector search infrastructure, embedding workflows, and agentic systems for enterprise product teams, diagnosing real-world AI failure modes (retrieval mismatch, hallucination, latency) and delivering architectures teams could ship with confidence. Designed and operated the LLM evaluation framework for generative AI products at Moody's Analytics, built on Databricks, Spark, and MLflow, establishing Recall@k, Precision@k, MRR, and groundedness as standard evaluation practice adopted across AI product teams. Delivered hands-on training on embeddings, vector search, prompting, and LLM evaluation to multiple engineering organizations, transferring production AI literacy at scale across teams building enterprise AI products.

Associate Director, DevOps Architect

Led DevOps architecture and platform engineering across a multi-cloud environment (AWS, Azure). Designed secure-by-default CI/CD pipelines, containerization strategies (Docker, Kubernetes), and infrastructure-as-code tooling (Terraform, GitHub Actions) adopted across multiple engineering teams. Drove the transition from monolithic deployment models to microservices, reducing release cycle time significantly. Led on-prem to cloud migration strategy, including data center sunset initiatives and workload decoupling. Coordinated InfoSec standards, compliance controls, and operational readiness across engineering teams, integrating security tooling into developer workflows without sacrificing delivery speed, and advised engineering teams on cloud design, scalability, and cost optimization across multiple product lines.

Senior DevOps Engineer

Built automated build pipelines, CI systems, monitoring infrastructure, and early cloud deployments supporting multiple product lines. Developed installation tooling, deployment automation, and customization frameworks, improving reliability, repeatability, and developer workflows across the organization.

Master of Information and Data Science (MIDS)

Bachelor of Science, Computer Science