I built a SaaS product's entire AI platform from the first line of code — it doubled the price and drove the company's 2024 acquisition. I'm a 38-year polyglot: I read the compilation and execution model of a stack and operate in it natively, so the surface syntax is the easy part.
AI engineering now happens in the bracket around the stack: you specify intent and quality constraints, and a multi-agent cadre materializes them at volume across whatever languages the problem needs. The proof is the estate I run solo — ~7,000 source files across 30+ repositories in Python, TypeScript, Rust, Go, Java and SQL. My core skill is governing correctness at that output scale: structural TDD, an LLM-as-judge review gate, and typed-observable failure over silent green.
/ Building now
CandyFactory.AI
founder & principal engineer · 2025–present
independent AI venture · software that composes software
Agent-orchestration, memory, and graph infrastructure — built in the open, verifiable in one command.
Bonfire / Forge — an open-source agent-orchestration framework (PyPI · Apache-2.0): role-bound agents through quality gates, an LLM-as-judge review gate, and structurally-enforced TDD.
Arachne — agent memory infrastructure combining vector embeddings with a graph recall layer over SQLite, wired live into a coding session.
Chunk — an autonomous agent whose LLM tool-calling writes to a bi-temporal interconnection graph (SQLite → Apache AGE) via a typed tool, with an act→learn loop.
MEXX·AI — a self-serve payment-pipeline agent (MercadoPago) compliant with Mexico's 2025 recurring-billing reform; automates merchant onboarding and billing end-to-end.
SweetCRM — a ~47,000-line TypeScript / React CRM platform on Supabase / Postgres, with a typed quality kit and typed-failure guardrails.
Governance, not delegation — I read every PR and review it for real (comments over rubber-stamps), with an LLM-as-judge gate and typed, observable failure.
/ Production AI
Dealership Performance 360 (DP360 CRM)
remote from México · 2019–2026
US automotive SaaS · AI Tech Lead / Senior AI Engineer
Built the company's entire AI capability from the first line of code — the differentiator behind DP360's 2024 acquisition.
Shipped 6 production AI features (auto-response, SMS chatbox, email composition, lead intelligence, nurturing, dealer-customizable prompts) that doubled the product's pricing.
Cut lead-response time 30+ min → under 2 with an autonomous auto-response engine (15 parallel workers) — a 23% first-response conversion lift.
Built and owned the standalone AI microservice (Python / FastAPI) integrating OpenAI models behind a provider abstraction with per-dealer configuration.
Architected the company's first standalone MCP service (FastMCP / HTTP) — Claude tool-calling against an authenticated API under a no-direct-DB mandate — with complete Terraform / AWS IaC and OIDC keyless CI/CD.
Hardened production AI guardrails to 96% clean output, empirically validated (N=202, p<0.001), eliminating user-facing prompt-injection-style failures.
Designed an in-house multi-agent orchestrator (sole author) with Claude model-routing and an LLM-as-judge review pass; scaled a core service ~30× and cut CI wall-clock −70%.
/ How I work
Tests define the contract before the code exists.
I read every PR and review it for real — comments over rubber-stamps, and the cadre learns from the loop.
Failure must speak — typed, observable errors, never a silent fallback.
/ Before AI · 1996–2019
23 years of production systems in Java, C#, C++, and full-stack web — financial services, healthcare, SaaS — across the USA, Venezuela, Brazil, and México. Self-directed engineer, coding since 1988.