About Me
I am a passionate engineer dedicated to bridging the gap between technical complexity and business value. With a background in Telecommunications Engineering and deep experience in full-stack development, I have transitioned into the AI Product Support space, where I focus on ensuring advanced AI/ML systems deliver real-world impact.
My philosophy centers on production reliability. I don't just build models; I build the pipelines that deploy them, the dashboards that monitor them, and the support frameworks that sustain them. I thrive in environments where I can troubleshoot complex API issues, optimize LLM outputs, and advocate for the customer's technical success.
- AWS Certified Developer – AssociateAmazon Web Services
- Machine Learning SpecializationDeepLearning.AI / Stanford
- Prompt Engineering for ChatGPTVanderbilt University
Professional Journey
From building complex systems to supporting high-stakes AI products in production.
Leading technical support and operational excellence for AI-driven fraud detection systems and financial platforms.
- •Providing L3 technical support for production ML models and real-time processing pipelines.
- •Optimized cloud resource allocation, resulting in €400K annual cost savings.
- •Managing production incidents using Dynatrace and Kibana for root cause analysis.
- •Bridging the gap between data science teams and end-users to resolve model integration issues.
Developed and deployed cloud-native applications and REST APIs for complex financial compliance systems.
- •Built resilient REST APIs using Django and Python for regulatory reporting platforms.
- •Implemented automated CI/CD pipelines with GitHub Actions and AWS ECS.
- •Provided technical guidance to stakeholders on API integration and system architecture.
- •Collaborated on the transition from legacy monoliths to scalable microservices.
Education
Universidad de Extremadura | 2018 - 2023
- Specialized in Signal Processing and Data Transmission
- Thesis on ML-based signal classification