Tech Architect · Founder · Hands-on Engineer
I design and build systems that deal with complex rules, data validation, and automation, with a strong focus on clarity, performance, and long-term maintainability.

I usually work end-to-end: from problem framing and architecture to implementation and iteration in production. I’m especially comfortable in early-stage, high-ownership environments and in technical consulting contexts where decisions matter.

I tend to focus on a small number of systems at a time, each exploring a different architectural concern.

Domain: rule engines, validation, data governance
Focus: turning complex, evolving rules into explicit, testable systems

RuleGenius is my main product initiative. It explores how to model, evaluate, and evolve rule-based logic without hard-coding it into application code.

Key ideas:

• Rule abstraction vs. hard-coded logic
• Human-readable DSLs for validation
• Versioning and auditability of rules
• Performance at scale

This project strongly informs my thinking around long-lived systems and governance-heavy domains.

Domain: conversational systems, workflows
Focus: interaction as a first-class architectural concern

Form-Talk explores how structured data collection can be modeled as a conversation rather than a static form.
Architecturally, it leans into event-driven flows and explicit state transitions.

Key ideas:

• Conversation-driven workflows
• Decoupling interaction from data models
• Progressive validation

Domain: scheduling, automation, orchestration
Focus: reliable time-based execution

CronCommander is an exploration of control planes for scheduled work: what runs, when, why, and under which guarantees.

Key ideas:

• Idempotent scheduled jobs
• Observability of time-based processes
• Explicit ownership of automation

Context: long-lived production system for an international sustainability organization
Status: active, multi-year, real-world usage

I led the design and implementation of a large-scale Sustainability Information System operating under real-world constraints: evolving standards, multiple stakeholders, and high data quality requirements.

Architectural challenges addressed:

• Data validation and quality enforcement
• Evolving schemas and backward compatibility
• Rule-driven assessments
• Auditability and governance
• Balancing flexibility with performance

While the codebase is private, this system represents some of my most demanding and instructive architectural work.

• High ownership, low ceremony
• Clear boundaries and explicit trade-offs
• Systems that are understandable years later
• Fewer abstractions, but better ones

I work best with teams that value thinking before scaling and simplicity over cleverness.

I’m very comfortable working close to the system:

• Linux servers via SSH, without a graphical interface
• Long-lived processes, logs, and production debugging
• Google Cloud Platform, especially:
  • Cloud Run
  • Compute Engine (VMs)
  • Cloud Storage
  • Cloud SQL
  • Secret Manager

I prefer environments where infrastructure and application concerns are visible and understandable, rather than abstracted away by heavy platforms.

• Early-stage or product-driven startups
• Founding / Staff / Principal engineering roles
• Technical consulting and architecture-heavy engagements

I’m less excited by bureaucracy-heavy environments, but open to the right problems and people.

📍 Madrid, Spain
🌐 https://www.minibota.com