I am an AI/ML Engineer with a dual-degree background in Data Science and Artificial Intelligence and Computer Engineering. I focus on Python AI-powered application prototypes, LLM/agent workflows, RAG, structured outputs and validation. I have built user-facing AI demos, worked on ML model workflows, debugging, maintainability, and Docker/Azure DevOps exposure, delivering reviewable, maintainable solutions in collaborative settings.

Endika Blanco

I am an AI/ML Engineer with a dual-degree background in Data Science and Artificial Intelligence and Computer Engineering. I focus on Python AI-powered application prototypes, LLM/agent workflows, RAG, structured outputs and validation. I have built user-facing AI demos, worked on ML model workflows, debugging, maintainability, and Docker/Azure DevOps exposure, delivering reviewable, maintainable solutions in collaborative settings.

Available to hire

I am an AI/ML Engineer with a dual-degree background in Data Science and Artificial Intelligence and Computer Engineering. I focus on Python AI-powered application prototypes, LLM/agent workflows, RAG, structured outputs and validation.

I have built user-facing AI demos, worked on ML model workflows, debugging, maintainability, and Docker/Azure DevOps exposure, delivering reviewable, maintainable solutions in collaborative settings.

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Experience Level

Expert
Expert
Expert
Expert
Expert
Expert
Intermediate
Intermediate

Language

Spanish; Castilian
Fluent
English
Advanced
Basque
Advanced

Work Experience

Junior Data Engineer at Lantek
February 1, 2024 - June 1, 2025
Worked on PySpark/Databricks ETL workflows supporting SQL transformations, Delta/DWH-style tables, data preparation, downstream data quality checks and processing reliability. Investigated discrepancies between source records and downstream tables, helping detect missing/deleted rows and improve reliability of data pipelines. Refactored processing logic and documentation while using Git, Docker, Azure/Azure DevOps, CI/CD exposure, Jira, testing exposure and team review workflows. Translated ambiguous data issues into reproducible checks, maintainable changes and concise documentation for delivery-oriented engineering stakeholders.

Education

Bachelor of Science (B.S.) in Data Science and Artificial Intelligence at University of Deusto
January 11, 2030 - June 1, 2026
Bachelor of Science (B.S.) in Computer Engineering at University of Deusto
January 11, 2030 - June 1, 2026

Qualifications

Add your qualifications or awards here.

Industry Experience

Computers & Electronics, Software & Internet, Media & Entertainment