Victor Ramirez
Profile
Director of Developer & Platform Experience at Moody's Analytics with 17 years of experience building production systems at scale. My career arc spans DevOps architecture, AI/ML engineering, and platform leadership, with the last three years focused entirely on AI infrastructure: RAG pipelines, LLM evaluation frameworks, agentic workflows, and the internal developer platforms that let engineering teams ship faster and more safely. I hold a Master's in Data Science from UC Berkeley (GPA 3.81) and am an active community builder through my podcast, Techqueria workshops, and conference speaking.
Experience

Director, Developer & Platform Experience

2024 – Present · Moody's Analytics · New York, NY (Remote)

Lead the engineering platform responsible for how hundreds of developers build, ship, and operate software. Own AI infrastructure strategy including RAG pipeline design, LLM evaluation frameworks (Recall@k, groundedness, MRR), agentic workflow orchestration, and cloud architecture across AWS and Azure. Drive internal developer enablement programs and tooling that reduce onboarding time and increase deployment frequency across engineering teams.

AI Architect

2023 – 2024 · Moody's Analytics · New York, NY (Remote)

Designed and shipped AI systems including RAG pipelines, vector search infrastructure, embedding workflows, and LLM benchmarking frameworks using Databricks and Spark. Led evaluation strategy for generative AI products, establishing Recall@k, Precision@k, MRR, and groundedness as standard metrics. Collaborated cross-functionally with product and data science teams to bring agentic workflows into production.

Associate Director, DevOps Architect

2015 – 2023 · Moody's Analytics · New York, NY (Remote)

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.

Earlier Roles at Moody's Analytics

2007 – 2015 · Moody's Analytics

Progressed through increasingly senior engineering roles over eight years, building deep expertise in platform engineering, systems architecture, and enterprise software delivery.

Education

Master of Information and Data Science (MIDS), GPA 3.81

2021 – 2023 · UC Berkeley School of Information · Berkeley, CA

Bachelor's Degree

Earlier education · Computer Science / Engineering

Community & Speaking
  • Host: AI Builders: LatinX Edition — podcast amplifying LatinX voices in AI, covering RAG, agents, LLM infrastructure, and the practitioners building it
  • Instructor: Techqueria — teaches Claude, RAG systems, embeddings, agentic workflows, and LLM fundamentals to the LatinX engineering community
  • Speaker: Techqueria Tech Summit
  • Speaker: Oakland Tech Week
  • Speaker: Latino AI Summit
  • Writing: medium.com/@vhr1975
Skills
  • Python
  • TypeScript
  • SQL / Spark SQL
  • RAG Pipelines
  • LLM Evaluation
  • Agentic Workflows
  • Vector Search
  • LangChain / LangGraph
  • FastAPI
  • AWS / Azure
  • Kubernetes
  • Docker
  • Terraform
  • GitHub Actions
  • Databricks / Spark
  • TensorFlow
  • MLflow
  • Tableau
  • Next.js
  • Cloudflare Workers
  • MCP / Tool Use
  • Claude / GPT-4o