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Hello, I'm Rafael Martínez Quiles


About me

I build real-time ML and computer vision systems, from credit decision engines to production-grade data platforms.

Focus What I Did Impact
ML Decision Engines Designed and deployed credit risk pipelines with explainability (SHAP, scorecards). Reduced loan decision times from ~90 days to < 5 minutes.
Computer Vision Built YOLO-based systems (v8/v9), OCR and tracking for real-time applications. Reached ≈95% accuracy and improved latency by 20%+ in production.
Innovation & Hackathons Competed on applied AI solutions and rapid prototyping. 2nd place in a Google hackathon.
Data Platforms Designed data stacks with Python, SQL, dbt and Airflow on cloud. Delivered reliable pipelines on AWS, GCP & Azure.

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This project generates a dynamic summary of who you are and what you’ve accomplished, and displays it on your GitHub profile. The content refreshes automatically once a day.

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