From industrial quality to software and AI

Profile

Professional with extensive experience in process-based quality systems in industrial environments, currently focused on software development, architecture, and governed use of artificial intelligence.

My differential value is not a specific technology, but the ability to design, execute, and govern complex systems with criteria for traceability, closure, and continuous improvement.

Background in quality and processes

Professional experience since the late 1990s in:

  • implementation and operation of quality management systems (ISO 9002 / ISO 9001),
  • process definition and control,
  • data-driven continuous improvement,
  • direct responsibility for results and commitments.

I have worked in small organizations with large clients, which forces you to:

  • make clear decisions,
  • close commitments,
  • document what is needed to operate,
  • and assume real consequences.

This context quickly filters out methodological noise.

Translation to software and AI

When working with software and artificial intelligence, I apply the same operational principles:

  • explicit definition of objectives and scope,
  • iterations with a beginning and an end,
  • closed and documented decisions,
  • real verification (builds, execution, tests),
  • learning embedded in the system.

I work with PDCA applied to software (Plan, Do, Check, Act), not as a theoretical framework but as an operating procedure.

Technology changes. The need to control the system does not.

Use of artificial intelligence

I use AI intensively, but with explicit governance.

Role-based working model:

  • Human: defines objectives, makes decisions, assumes responsibility.
  • Coordinator AI: structures work, maintains context and documentation.
  • Agent AI: executes bounded technical tasks.

AI is used as a cognitive and operational accelerator, not as a substitute for technical judgment.

This approach reduces noise, prevents drift, and enables process traceability.

Technical and architectural focus

I design systems with explicit architecture, oriented to grow without breaking:

  • clear separation of layers,
  • understandable domain models,
  • justified technical decisions,
  • documented trade-offs.

I do not chase patterns for fashion. I prioritize clarity, maintainability, and decision capacity in the medium and long term.

What I bring

  • technical judgment grounded in real experience,
  • systematic and documented approach,
  • ability to work in complex environments without losing control,
  • pragmatic continuous improvement.

If something appears on this site, it is because it exists, works, and is part of a real system.

Professional fit

Open to collaboration with:

  • software development teams,
  • organizations critically dependent on digital systems,
  • environments where process matters as much as code.

Interested in contexts that value quality, traceability, and technical sustainability.

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