Production-grade multi-agent orchestration, AI-governed trading infrastructure, and enterprise-scale autonomous pipelines — built and operated from the ground up.
Each project is live, actively running, and producing real outputs — not demos or prototypes.
Four autonomous agents — Atlas, Aegis, Orion, Luna — operating continuously with self-improvement loops, HITL escalation, and cross-lane A2A messaging. Atlas alone: 5,300+ events, 1,500+ decisions, 66 active hypotheses.
SPEC-to-execution pipeline: Perfect SPEC (30-point quality gate) → Plane.so task decomposition (55+ MCP tools) → multi-vendor LLM execution (Claude Code + Codex CLI + Ollama) → AC verification → retrospective. Proven end-to-end on SPEC-0012.
OODA-cycle finance agent with a personal finance control tower (REST API, React dashboard, PostgreSQL, MCP server) and a risk-gated AI trading swarm: 13 microservices including backtest engine, walkforward validator, and live systemd dashboard.
16 automated infrastructure checks, policy-gated remediation, cross-lane A2A messaging, and an intelligence engine with hypotheses tracking and self-improvement mutation gate.
AI-powered education governance: AI tutor with UI/UX validation skills, LLM-based human cognitive assessment, and a PAA-governed quality pipeline with Telegram ORION SCHOOL integration.
Multi-channel intake (Discord + Telegram), daily digest automation, and personal delegation workflows — connecting personal context to the PAA intelligence engine across sessions.
20+ years in enterprise infrastructure. Sr. Solution Engineer at VMware. Pre-sales architect at Zones and Red8. Now building the AI infrastructure enterprise is evaluating.
Most AI demos are built to impress, not to run. Digital Native Ventures exists to prove that autonomous AI systems can operate reliably in production — handling real workloads, making real decisions, and improving themselves over time.
The work here draws directly from enterprise SE experience: understanding how infrastructure buyers think, what PoC success actually looks like, and how to build systems that earn trust at the C-level.
Based in Lisbon, Portugal. US Citizen. Open to remote EMEA and US opportunities.