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Malt Strategy
Malt Strategy
Juan Mugica GonzalezJM

Juan Mugica Gonzalez

Senior AI Engineer · ex-Google · Voice AI

1500 €/día
1 proyecto
Madrid, ES
3-7 años
LLM
AI Agents
Voice AI
Multi-Agent Systems
LLM Evaluation

Tiempo medio de respuesta: 1h

Acerca de Juan

Senior AI Engineer en Quadrivia, donde lidero el trabajo que hace que nuestros agentes de voz para healthcare sean fiables frente a pacientes reales. He reconstruido el orquestador conversacional reduciendo ~1s de latencia por turno, creando un patrón de subagentes que detectan red flags clínicos en tiempo real, diseñado un detector de contestadores que pasó del 50% al >93% de detección, y actualmente construyo Starfish, una plataforma de testing donde agentes IA simulan pacientes para hacer stress-testing de agentes en producción.

Antes cofundé Amrap, un entrenador personal IA en tiempo real: app iOS voice-first + backend multi-agente que generaba rutinas personalizadas y entrenaba en el gimnasio. Diseñé la orquestación combinando LLM reasoning con validadores deterministas, reduciendo alucinaciones un 95% con latencias de voz <2s. Llevamos el producto de cero a usuarios de pago.

Previamente Cloud Architect en Google (2,5 años), cuentas enterprise, cerrando contratos multi-millón € y creando soluciones cloud a escala.

Ayudo a empresas a llevar agentes IA de demo a producción: arquitectura, voice/conversational AI, sistemas multi-agente, eval frameworks, fiabilidad y latencia. Disponible para proyectos fractional (1-2 días/semana) y consultas técnicas puntuales.
Consultoría y auditoría
Dispositivos médicos
Salud y bienestar
Educación superior, investigación e innovación
Modelos de negocios digitales

  • Español

    Bilingüe o nativo

  • Francés

    Competencia profesional completa

  • Inglés

    Bilingüe o nativo

Acepta trabajo presencial
Madrid (hasta 50 km)

Experiencia

  • Amrap
    Founder, Tech Lead
    SALUD & BIENESTAR
    noviembre de 2024 - febrero de 2026 (1 año y 3 meses)
    New York, NY, USA
    Cofounded Amrap, a real-time AI personal trainer that builds personalized strength routines and coaches users live on the gym floor through voice and video.

    - Designed and built the end-to-end product: voice-first iOS app and a multi-agent backend that generates high-personalization routines and coaches workouts in real time, calling out weights and reps, teaching technique, and answering exercise questions on the spot.
    - Architected an agent orchestration layer combining LLM reasoning with deterministic and LLM-based validators, cutting hallucinations by 95% and engineered patterns so the remaining 5% wouldn’t degrade the UX.
    - Tuned the system for in-gym latency: sub-2-second voice responses during coaching and full routine generation in 30 to 60 seconds, with on-the-fly adaptation to the exact equipment available and to user feedback mid-session.
    - Built the platform on clean-architecture principles using a microservice setup on GKE (Kubernetes), with Swift on the client, LiveKit for low-latency voice, PydanticAI for agent adapters, React for web, and SQL plus Firestore for persistence.
    - Took the product from zero to a few paying users. We didn’t figure out distribution before I left.
    LLM Evaluation Voice AI LLM Conversational AI Python
  • Google
    AI & Cloud Architect
    julio de 2022 - noviembre de 2024 (2 años y 4 meses)
    Paris, France
    Building AI and Cloud solutions for corporations launching new service offerings or looking to improve operational efficiency. Leading the development process from ideation to proof-of-concept and production deployment. Sample projects include AI agent development, AI-powered recommendations, data platform development and transition to cloud.
    Google cloud Cloud Architecture AI Agents Voice AI Data Platform
  • MIT Media lab
    Research Collaborator
    ARQUITECTURA & URBANISMO
    septiembre de 2020 - enero de 2022 (1 año y 4 meses)
    Cambridge, Estados Unidos
    Developed a bio-inspired framework for future mobility allowing autonomous vehicles to move more efficiently. Designed and built a vehicle-to-vehicle energy-sharing system, so future vehicles can share power while moving, extending their range in a decentralized and cost-efficient manner. Validated the framework through agent-based simulations.
    Research Architecture and Urban Planning
Consulta todas las experiencias de Juan

Reseñas

5,0

de 1 valoraciones

I

Ignacio

Technical Audit & Strategy - Sincrolab

Revisado el 6/7/2026

Juan carried out an independent technical audit of our platform and delivered exactly what we needed. In a short engagement he gave us a clear and honest picture of the real state of our code and architecture, with no sugarcoating. Beyond the diagnosis, he laid out a realistic plan for what it would take to reach our September targets, including the team and the cost involved, which gave us a solid basis to make an informed go/no-go decision on the execution phase. He is technically sharp, structured, and communicates complex topics in a way that a non technical stakeholder can actually act on. Easy to work with and responsive throughout. We would gladly work with him again.

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Formación

  • Master en Liderazgo Internacional
    Fundación Rafael del Pino
    Master
  • Doble Diploma - Ingeniería
    CentraleSupélec
    2021
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