I am passionate about bridging the gap between Artificial Intelligence and production-ready software. I specialize in building robust backend architectures and integrating Machine Learning models into real-world applications.
In Woodea I am focused on developing scalable APIs and implementing AI-driven integrations like RAG systems. Additionally, as a volunteer at VOST Euskadi, I engineered automated emergency alert systems utilizing real-time data analytics.
My expertise lies in transforming complex data and AI models (like YOLOv11 and PyTorch) into functional, deployable backend solutions.
I am currently expanding my technical capabilities by pursuing an official specialization in AI & Big Data, and I am actively seeking my next challenge where I can contribute to innovative, data-driven backend projects.
- Smart transportation: multi-class detection, tracking, and analytics with YOLOv11 and CUDA optimization.
- Advanced features: occlusion handling, ROI-based counting, anti-drift, IoU-based accuracy tuning.
- Inclusive chatbot for NEAE educational support using Retrieval-Augmented Generation with LLMs and vector databases.
- Full-stack collaborative analytics: Angular frontend, Symfony API, MariaDB, Docker and PowerShell automation.
Backend Development
Python • Flask • FastAPI • Django • SQLAlchemy
MySQL • PostgreSQL • Redis • RESTful APIs
Microservices • Async Processing • API Security
Machine Learning & Deep Learning
TensorFlow • PyTorch • Scikit-Learn • Keras • NumPy • Pandas
Data Modeling • Feature Engineering • Stats Analysis
MLOps • Model Deployment • Real-Time Pipelines
Big Data
Apache Spark • Apache Kafka • Airflow
ETL • Batch & Real-Time Processing • Hadoop
Cassandra • ClickHouse • Data Lakes
DevOps & Cloud
AWS • Azure • Docker • Kubernetes • MLflow
CI/CD • Infra as Code • Containerized Deployment
Monitoring • Logging • Scalability
Automation & Testing
Pytest • Integration Testing • Test Automation
Data Quality • Validation • Agile Workflows
- Spanish: Native
- English: Fluent