Business. Technology.
Both.

Hi, I'm Juan David Garcia, AI Solutions Architect & Technical PM. I help organizations build and ship AI products.

8+ years working with enterprise clients on complex technical projects. Currently focused on AI solutions and building my own products.

PMP
Product Builder
AI Agents
Full-Stack
EN • ES • PT

What I Do

AI Solutions Architecture

I like designing systems where LLMs actually help people get work done. RAG pipelines, multi-agent workflows, tools that integrate into existing processes.

Technical Project Leadership

Bridging the gap between "here's what we want" and "here's what we shipped." Keeping projects moving, teams aligned, and stakeholders informed.

Product Development

Building AI-first products from scratch: HugeContext, Docsalia, Claritude. All in production, all solving real problems I encountered.

Process Innovation

Finding workflows that feel painful and automating them away. Whether that's dev tooling, data pipelines, or team coordination.

In Progress Updated Jan 10, 2026

Decoupling Completion from Correctness

Evidence-Gated Multi-Agent Code Generation Under Repository Constraints

Modern LLM coding assistants are excellent at finishing requests, but real engineering failures happen when a “finished” change quietly violates a repository’s constraints: module boundaries, security posture, test contracts, and operational assumptions. This working draft proposes a governance-first architecture that makes repository fitness the stopping condition. It combines local grounding (HugeContext), an Agent–Auditor loop (HugeCode), and a deterministic Gatekeeper that enforces fitness functions via static analysis, tests, and policy checks.

LLM AgentsCode GenerationGovernanceSecurity

Latest Updates

site

Site launch

Launched codavidgarcia.com. My personal site showcasing the intersection of technical leadership and AI engineering.

product

HugeContext v1.0 Released

After months of development and testing, HugeContext is now production-ready. 17x smaller than competitors while delivering better retrieval quality.

paper

Paper draft progressing

Made significant progress on the RAG evaluation framework paper. Case studies from enterprise deployments are coming together.

Let's Build Something

If you're working on something interesting and think I might be helpful, I'd love to hear from you.