Daniel Franco Fajardo
Controlled Deploy workflow status

Principal Systems Architect

Critical & Intelligent Infrastructure

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.

Architectural authority Critical systems credibility Applied AI under constraints
Daniel Franco Fajardo — Principal Systems Architect

Strategic Positioning

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.

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

Core signals

  • 9+ years across mission-critical transportation and industrial environments
  • Product Design Authority-linked responsibilities with cross-functional technical ownership
  • coordination across France, Italy, and Mexico
  • integration across PLCs, Modbus, sensors, SBCs, edge devices, backend software, and validation environments

Architecture & Methods

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.

Engineering stance
Traceability, bounded interpretation, and controlled publication over hype or unsupported claims.
Architecture foundations and methods overview
Architecture foundations + cross-cutting engineering methods. Infrastructure, control, acquisition, and data evaluation are framed as one coherent delivery stack.
Professional signal end-to-end delivery timeline
Professional signal delivery timeline. The public signal follows the real implementation path: context, architecture, integration, validation, and resilient operations.

Selected Public Work

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.

Reusable publication signal The deploy badge stays live in HTML so the reader sees real workflow status instead of a decorative fixed image. Controlled Deploy workflow status

Navigation guide

How to read this public surface

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 prooffast capability viewsecondary proof

Architecture decision proof

Architecture Decision Workbench

Traceable alternatives, fit-gap, trade-offs, verification mapping and sensitivity replay in a synthetic advisory scenario.

requirementstrade-offstraceability
View repository

Resilient operations proof

Industrial Resilience OT Lab

Synthetic fault-aware control with controlled degradation and recovery, observable state, validation and deterministic replay.

OT resiliencerecoveryreplay
View repository

AI assurance proof

Governed AI Assurance

Evidence grounding, citation checks, controlled abstention, human review and replay in a bounded synthetic corpus.

groundinghuman reviewabstention
View repository

Data governance proof

Governed Data & Analytics

Contract-based admission, quarantine, quality, lineage and trusted KPI outputs from a bounded synthetic dataset.

data contractsqualitylineage
View repository
Publication boundary: These are public greenfield demonstrations, synthetic or bounded where stated, and separate from professional employment history.

Professional Boundary

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.

Contact & Availability

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.