Mario Ruiz Díaz
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Hello

Mario Ruiz Díaz

I design and ship software systems that stay reliable when the stakes get real.

20+ years building distributed systems, observability platforms and AI-native products for real businesses.

Message on WhatsAppAll case studies
years building production software
20+
microservices at Adme
300+
faster incident investigation at Pluto TV
~40%
infrastructure rollout
<10 min

Trusted in production

  • Pluto TV
  • Paramount+
  • Adme
  • Afterhour

How I help

Three modes of impact.

  1. 01

    Architect

    Architecture that survives growth.

    Boundaries, data ownership, event flows and failure modes, defined before complexity gets expensive.

    • Service & data boundaries
    • Event-driven flows · failure modes
    • Cloud topology · cost shape
  2. 02

    Build

    Hands-on in the critical paths.

    Close to code, migrations, integrations and releases. Architecture that never reaches production is theater.

    • Critical path code · migrations
    • Integrations · APIs · contracts
    • Observability · CI/CD
  3. 03

    Lead

    Teams that get stronger each quarter.

    Mentoring, technical decisions, review discipline and reliability practices.

    • Mentoring · pairing
    • Technical decision-making
    • Reliability · on-call practices

Selected work

A production track record, not a presentation deck.

All case studies
  1. LiveAI voice platform for legal & service businesses

    Afterhour

    Problem
    Turn voice AI into a reliable product capability, not a demo.
    Outcome
    A production-ready AI voice platform for intake, routing and human handoff.
  2. ~40%faster incident investigation

    Pluto TV · Paramount+

    Problem
    Slow incident diagnosis in revenue-critical streaming and ad-delivery services.
    Outcome
    Distributed tracing and observability standards across asynchronous microservices.
  3. 300+microservices, rollout under 10 min

    Adme

    Problem
    Scale an ad-tech platform without turning releases into chaos.
    Outcome
    A cloud-native ad-tech platform with full CI/CD and repeatable provisioning.

Founder · v-next.ai

Need a team, not just an architect?

I founded v-next.ai to put senior-only engineering teams behind ambitious products: custom software, SaaS platforms and AI agents, from MVP to scale, with weekly demos and transparent pricing.

Articles

Notes from production.

All articles

  1. · 4 min read

    Why Most LLM Integrations Fail in Production

  2. · 3 min read

    The Hidden Cost of Microservices

  3. · 3 min read

    Observability vs Monitoring

About

Still close to code. Still close to production.

For more than two decades I've worked close to production systems: streaming platforms, ad-tech ecosystems and AI-native voice platforms.

Today I lead v-next.ai and still stay hands-on, because architecture decisions are only real when they survive production.

  1. 01

    I build microservices when independent scalability, fault isolation and organizational evolution justify the complexity.

  2. 02

    Observability reduces MTTR when production fails at 3 AM.

  3. 03

    AI systems are distributed systems. LLMs without orchestration, validation and observability don't survive production.

Contact

Bring me a real problem.

A scaling issue, a risky migration, an AI workflow that must become reliable, or a team that needs sharper technical direction.

Message on WhatsAppLinkedIn

Founder-level conversation · Practical feedback · NDA available on request