Hi, I'm Victor

Director, Developer & Platform Experience

Moody's Analytics

17 years building production systems at scale, with the last three as AI Architect and now Director, owning the engineering platform that helps hundreds of developers build, ship, and operate software. My focus is AI infrastructure: RAG pipelines, LLM evaluation frameworks (Recall@k, groundedness, MRR), agentic workflows, and the cloud architecture that runs them in production. I hold a Master's in Data Science from UC Berkeley (GPA 3.81).

I host AI Builders: LatinX Edition, a practitioner podcast teaching Claude, RAG, and agents through conversations with people building real AI systems and deliver the same material hands-on at Techqueria workshops. I've spoken at Techqueria Tech Summit, Oakland Tech Week, and the Latino AI Summit. I build with Claude Code daily: shipping edge AI workers on Cloudflare, live MCP server implementations, and agentic systems as production engineering artifacts.

See My Work View CV

What I Build

RAG Pipelines & Retrieval Systems

Production retrieval-augmented generation connecting LLMs to enterprise knowledge at scale

LLM Evaluation Frameworks

Rigorous benchmarking with Recall@k, Precision@k, MRR, and groundedness. Not ad-hoc testing.

Agentic Workflows

Multi-turn agent orchestration, function calling, and tool-use patterns deployed in production

Developer Platforms

Internal developer platforms and CI/CD infrastructure that help engineering teams ship faster

Featured Work

TrustClaw: Autonomous Email Summarization Agent
Live · Claude

Autonomous email-summarization agent integrating a Gmail webhook with Claude, all dependencies proxied through JFrog Artifactory and deployed to Vercel. Includes a full supply-chain audit trail across 900+ packages and a 5-point DX friction report.

edge-ai-agent-lab: Live MCP Worker
Live · MCP

Live Cloudflare Worker implementing the Model Context Protocol (MCP). Exposes agentic tools at the edge using Workers AI bindings. A public reference implementation for MCP server patterns and edge AI deployment.

RAG Evaluation Lab
RAG · Eval

Fully offline lab for evaluating RAG systems. Covers synthetic datasets, embeddings, vector search, and retrieval metrics (Recall@k, Precision@k, MRR, groundedness). The reference implementation behind the RAG evaluation methodology I teach at Techqueria.

Speaking

Techqueria Tech Summit · Oct 2025

Building AI Agents for Real-World Workflows

Oakland Tech Week · Nov 2025

AI Agents from Scratch

Latino AI Summit · Jan 2026

RAG Chat + AI Agents

Writing

Introducing the RAG Evaluation Lab
RAG · LLM Eval

A practical guide to measuring retrieval quality in RAG systems, covering Recall@k, precision, and groundedness as the evaluation foundations every production AI system needs.

Demystifying Generative AI: My Journey with Techqueria Workshops
Teaching · GenAI

Behind the curriculum: how I designed hands-on AI workshops for the LatinX engineering community, from LLM fundamentals to production RAG systems and agentic architectures.

Introducing AI Builders: LatinX Edition
Community · Podcast

The story behind the podcast: why I started a show amplifying LatinX voices in AI and what I've learned from conversations with practitioners building at the frontier of generative AI.

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