Where I add the most value
- requirements and fit-gap analysis
- technical trade-offs and engineering risk
- validation and deployment reality
- supplier alignment and delivery feasibility
- resilient operational behavior under constraints
Principal Systems Architect
Architecting resilient systems under constraints through governance, observability, controlled failure, and technical ownership.
Open to national and international opportunities — remote, hybrid, and selected on-site collaboration.
I design and govern operational systems where software, automation, infrastructure components, peripheral-control layers, data acquisition, and applied AI must remain reliable under real-world constraints.
My strongest value appears when architecture must connect technical direction, supplier reality, validation strategy, and operational behavior into a coherent, buildable path.
The methodological layer explains how infrastructure, control, acquisition, evaluation, and delivery connect under bounded engineering discipline. Public proofs should demonstrate traceability, rigor, and judgment — not proprietary scope or unsupported claims.
This landing routes to a small set of public proofs. The goal is professional clarity, easy navigation, and fast recognition of value without redundant narrative.
Navigation guide
Start with the Engineering Portfolio for an integrated review of four bounded public demonstrations. Open individual repositories for domain evidence; additional public work remains below.
Primary integrated proof
Evidence-linked review surface for four bounded demonstrations across OT resilience, governed data, AI assurance and architecture decisions.
Architecture decision proof
Traceable alternatives, fit-gap, trade-offs, verification mapping and sensitivity replay in a synthetic advisory scenario.
Resilient operations proof
Synthetic fault-aware control with controlled degradation and recovery, observable state, validation and deterministic replay.
AI assurance proof
Evidence grounding, citation checks, controlled abstention, human review and replay in a bounded synthetic corpus.
Data governance proof
Contract-based admission, quarantine, quality, lineage and trusted KPI outputs from a bounded synthetic dataset.
This portfolio presents public architectural references and bounded technical proofs. It does not expose proprietary client code, confidential data, credentials, or official warning systems.
The seismic prototype is not a deterministic earthquake prediction system, not a public alerting system, and not production infrastructure.
Email: relativomec@gmail.com
LinkedIn: linkedin.com/in/daniel-franco-b27572a8
GitHub: github.com/RelativoDrako
Open to national and international opportunities — remote, hybrid, and selected on-site collaboration.