$~:whoami> matheo

Secure systems.
Reliable data.
Useful AI.

I’m Matheo, a security engineer working across data platforms and applied AI. I turn fragmented information into useful software, with clear checks on what gets trusted, automated, and shipped.

A little curiosity goes a long way. Press ~ for a terminal.A little curiosity goes a long way. Tap >_ for a terminal.

How I build

Start with the problem.

Understand the people, constraints, and useful outcome before choosing a tool.

Keep evidence close.

Make facts and calculations traceable, and leave uncertainty visible.

Separate making from checking.

Give implementation and review distinct roles. Observe the result where people use it.

Own the decisions.

Automate bounded work, make tradeoffs explicit, and keep human judgment where it matters.

Explore an illustrative engineering workflow →

An illustrative workflow

← Back to principles

Illustrative workflow patterns, not a live team roster or the architecture of a particular product.

Matheo

Frames the problem · reviews consequential decisions

Start with evidence

Make the input understandable before asking a model to interpret it.

  • Evidence review

    Checks whether the available material supports the question.

    Type: Checker
    • Preparation

      Organizes inputs and flags gaps for review.

      Type: Automation

Separate the jobs

Use generated language where it helps and explicit rules where precision matters.

  • Output review

    Checks the result against the evidence and the task.

    Type: Checker
    • Drafting

      Proposes an explanation using the material provided.

      Type: AI
    • Calculation

      Produces numeric results from explicit inputs and rules.

      Type: Deterministic

Verify before shipping

Keep implementation and review separate, then observe the result.

  • Independent review

    Assesses the change against its stated goal and constraints.

    Type: Checker
    • Implementation

      Makes a bounded change with clear acceptance criteria.

      Type: AI
    • Checks

      Exercises the change and makes failures visible.

      Type: Automation
  • AI
  • Automation
  • Deterministic
  • Checker
  • Reports to the checker above
P3021/1

An engineer.
Still curious.

Security is my starting point. I’m interested in how data, software, and AI fit together—and in making the result useful to the people who rely on it.

World explorer, mentor, and tinkerer. Pushing to prod since Win95. I make room for community work, playful experiments, and learning something outside my usual lane.

Note

Activity is a starting point.

A workflow running for longer doesn’t mean it did more useful work. First: what does a good result look like, and how does someone check it?

Notes on measurement →

Note

Sometimes less software helps.

A small tool can keep preferences on the device, work without an account, and leave less to maintain.

More on the blog ↗

Community

Security people can use.

Helping older adults recognize scams, protect themselves online, and know where to turn when something goes wrong.

Community & resources →

$ contact --channel linkedin

Working on security, data, or useful AI?
Let’s talk.

© 2026 Matheo Lord-Martinez

$~:ls playground/

Arcade 95

Games, desk accessories, and a terminal with a few secrets, inside a little computer from a different era.

  • Pinball
  • Snake
  • Tetris
  • Breakout
  • Asteroids