Top projects that I have been involved in:1. 🐱 Machine Learning Platform for Wallapop: - Designed and built a robust machine learning platform at Wallapop. - Using tools such as Sagemaker, Cloudformation, Flyte, Kubernetes, and Feast. - Simplified the process of deploying machine learning models into production.2. 🐹 Production ML Models: - Successfully deployed several ML models, including: - Marketing churn prediction - Category classifier - Weight suggestion model - Utilized Flyte, Sagemaker Endpoints, and Grafana for efficient monitoring.3. 🐼 Personalization Model: - Maintain and improve an ALS collaborative filtering model with implicit feedback. - Using Spark, Airflow, and MLflow for seamless model management.4. 🐶 Google Analytics Streaming Data Processing: - Processed clickstream data from Google Analytics. - Stored the processed data in Delta Lake using Spark Structured Streaming.5. 🐷 Custom Python ML Model Framework: - Created a flexible framework for saving, loading, tracking, and deploying custom Python ML models. - Integrated MLflow, AWS Sagemaker, and Python for streamlined workflows.About Me:Born in the small town of Vic and currently living in Barcelona. My passion lies in the realms of Big Data, Machine Learning, and Deep Learning, particularly in taking these models to production. I thrive on learning about cutting-edge machine learning technologies and architectural advancements.Beyond my professional pursuits, I’m an energetic and proactive individual. Whether it’s a game of handball, a session at the gym, or diving into new knowledge, I’m always seeking ways to enhance my skills and contribute effectively.Feel free to connect—I’m eager to engage with fellow enthusiasts and collaborate on exciting projects! 🚀