I specialize in building scalable, production-ready platforms at the intersection of Backend Development and Data Science. My work at Woodea focuses on robust backend architecture and APIs, while as a volunteer Data Scientist at VOST Euskadi, I develop automated emergency alert systems with real-time analytics and AI-driven automation. My expertise spans advanced data processing, MLOps, and deploying intelligent solutions for critical domains.
- Contributor to computer vision, backend API, educational AI, and data engineering projects.
- Advocate for technical excellence and best practices through documentation and deployment guides.
- Active participant in open source, edtech, and public safety technology communities.
- 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