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.

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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 PSRP for flagship technical proof, use this landing for fast capability reading, and open inventory-stream7-rescue for secondary operational depth.

primary prooffast capability viewsecondary proof

Primary public proof

Probabilistic Seismic Risk Prototype

Local-first probabilistic workflow, bounded interpretation, traceable artifacts, and publication-safe engineering communication.

local-firstbounded analyticstraceability
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Flagship editorial surface

Professional Landing Page

Capability layer for architecture narrative, selected work, low-friction contact, and controlled public reading paths.

flagship landingselected workcontact surface
Open landing

Secondary operational proof

inventory-stream7-rescue

Cross-platform rescue triage, constrained hardware inventory, and evidence-first reporting for Windows and Linux environments.

cross-platformrescue triageevidence-first
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Publishable work in progress

EdgeResilienceLab

Governed architecture line for resilient edge/OT systems, bounded AI-assisted operations, human oversight, auditability, and local-first operational framing.

governed AIedge/OT resilienceauditability
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Public evidence hierarchy from landing to primary and secondary proof
A concise navigation layer from flagship landing to primary proof, operational proof, and a bounded architecture work-in-progress line.
Publication boundary: EdgeResilienceLab is presented as a publishable work in progress: professionally readable today, intentionally bounded, and open to controlled future refinement without being framed as a finished product.

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.