DIEGO CALVIÑO
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DIEGO CALVIÑOSystems · Automation · Applied AI

When the same error keeps happening, it isn't human error.

I analyse operational processes and build systems that connect data, apply business rules and automate checks to detect inconsistencies and make decisions verifiable.

Over a decade working with systems, networks and telecommunications, alongside hands-on experience in logistics planning and coordination.

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SELECTED WORK

Systems built for real-world problems.

Three independent projects at different stages: coordinating operations, governing AI-assisted software development and controlling handoffs between teams and systems.

PROJECT / 01 · Operations · Data · Automation

SICALPE

Connecting information to coordinate resources and decisions.

It connects operational data, resources, documentation and status information. Rules and validation checks help identify inconsistencies and maintain traceability across processes.

MY ROLE
I defined operational workflows, data relationships and validation controls, developed system components and worked on internal tests.
STATUS
FUNCTIONAL · EVOLVING
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Conceptual operational coordination diagram: operational data, rules and relationships, controls and validation, coordination, and traceability.

PROJECT / 02 · AI-assisted engineering · Development governance · Validation

E2E Assurance Sandbox

Building software with AI without confusing generated work with verified results.

A working model that connects requirements, deliverables, tests and evidence. It distinguishes generated output from verified work before allowing the next stage to proceed.

MY ROLE
I defined work contracts, checkpoints and a reconciliation process linking requirements, tests and development status.
STATUS
ACTIVE DEVELOPMENT
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DEVELOPMENT GOVERNANCE · CONCEPTUAL MODEL
  1. 01 / CONTRACT What needs to be built Requirements · scope · baseline
  2. 02 / VERIFICATION What can be demonstrated Tests · evidence · gaps
  3. 03 / DECISION What may proceed Gates · reconciliation · progression

Separating generation, verification and approval is the product’s guiding principle.

PROJECT / 03 · Process Assurance · Flow control · Traceability

E2E Process Assurance

Preventing an issue from reaching the next team or system.

It evaluates process handoffs, identifies unmet requirements, stops the affected transition and requires correction and revalidation before work can continue.

MY ROLE
I designed control rules, exception handling and revalidation conditions, and worked on test scenarios for blocking and resuming a process.
STATUS
TECHNICAL V1 · EVOLVING
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HANDOFF CONTROL · CONCEPTUAL MODEL
TRANSITION BETWEEN STAGES Evaluate conditions to proceed Data · rules · status
HOLD Detect and block Assign · correct · revalidate
CONTINUE Allow progression Decision traceability

The entire process is not blocked: the control applies to the affected transition.

PROBLEM → SYSTEM → EVIDENCE

Understand before automating.

  1. 01

    Understand the problem

    Map how work actually happens, what exceptions arise and where recurring failures originate.

  2. 02

    Turn it into a system

    Translate decisions, data and dependencies into rules, states and reproducible controls.

  3. 03

    Make it demonstrable

    Verify results through tests and traceability, distinguishing evidence from assumptions.

AREAS OF WORK

Connecting operations, systems and automation.

Operations

Process analysis · Logistics coordination · Workflows and exceptions · Procedures · Operational controls · Traceability

Systems

Information systems · Data modelling · Databases · Business rules · APIs · Networks and telecommunications

Automation & AI

Automated controls · LLMs and agents · AI-assisted development · Task decomposition · Testing and validation

Enterprise systems

SAP S/4HANA FI/CO · Business processes · Integration between operations and systems.

EXTERNAL ACADEMIC ASSESSMENT SAP S/4HANA FI/CO · applied academic work. Two final projects assessed as “Sobresaliente” (Outstanding).

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BACKGROUND & APPROACH

My experience comes from real operations, not just exercises.

I have worked with technology infrastructure and logistics processes involving people, resources, information and real-world constraints. That experience shapes my focus on building systems that are useful to the people who operate them.

SYSTEMS → OPERATIONS → LOGISTICS → ENTERPRISE → AUTOMATION → AI

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CONTACT

Is there a process that shouldn't still work this way?

I’m interested in roles, projects and collaborations with operations, systems and transformation teams—especially where information needs connecting, controls need automating and processes need improving.

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