About Matias
- Development of conversational agents for products (web, APIs, integrations like WhatsApp)
- Implementation of RAG systems on proprietary data (documentation, CRM, internal knowledge)
- Integration of generative models (OpenAI, Gemini, etc.) into SaaS products
- Design of scalable backend architectures (microservices, event-driven, cloud)
- Moving from prototype to production: performance, observability, and maintenance
- Development of a conversational agent that automatically handles and qualifies leads (web / WhatsApp)
- Implementation of a RAG system for queries on internal or product documentation
- Integration of AI into an existing SaaS to improve user experience
- Automation of support or sales processes using AI
Spanish
Native or bilingual
English
Conversational
Experience
- Sports Data CampusMachine Learning InstructorEDUCATION AND E-LEARNINGJanuary 2026 - Today (7 months)Instructor in Machine Learning modules within programs for:• Master's in Advanced Python (Module 10 – Machine Learning)• Master's in Artificial Intelligence Applied to SportPractical and applied approach, covering:• Supervised and unsupervised models• Model evaluation and validation• Feature engineering• Real-world applications in sports environments• Best practices in Python development (scikit-learn, pipelines, etc.)Role focused on transferring technical knowledge to real business and sports contexts.
- Unibo NeobankTech LeadNovember 2022 - Today (3 years and 9 months)Barcelona, Spain
- Designed and developed a complete onboarding flow with Node.js/TypeScript and microservices in GCP, reducing new client onboarding time by 30% and improving welcome NPS.
- Implemented an intelligent chatbot using Langchain that automated 50% of frequent queries, reducing average response time from 5h to 1h, freeing up 4 hours/day for the support team.
- Led the migration to a microservices architecture in GCP, achieving 99.9% uptime and global scalability to support 200% user growth in 12 months.
- Optimized system security and reliability, reducing production errors by 25% through CI/CD, automated testing, and proactive log analysis.
- EvoSoftCIO - CoFounder / FullStack DeveloperTELECOMMUNICATIONSOctober 2015 - Today (10 years and 9 months)Montevideo, Uruguay
- Led the creation of EvoTiming, a SaaS platform with over 5,000 active users and 99.9% availability, coordinating a team of 4 developers and managing the technical roadmap.
- Established the serverless technical infrastructure in Google Cloud, integrating managed databases, ETL pipelines, and automated deployment with DevOps practices.
- Oversaw commercial launch and validation, achieving platform monetization within 6 months and generating a 15% increase in quarterly new registrations.
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Education
- Systems AnalystBIOS Escuela de Sistemas2014