Rafa Chica

Rafa Chica has extensive work experience in the field of artificial intelligence, specializing in machine learning and natural language processing (NLP). Rafa began their career at Serimag Media in 2013, where they served as a production manager for AI multi-agent systems and worked on projects involving document analysis, classification, and extraction using various ML techniques. Rafa also worked as a business intelligence analyst and ETL developer, working primarily with bank data and utilizing tools such as Git, Python, Java, Spoon, Oracle, MySQL, and MicroStrategy.

In 2016, Rafa joined Playtech BGT Sports as a software engineer, focusing on backend development for sports betting platforms. Here, they were involved in designing and implementing new features, resolving issues, and conducting code reviews. Rafa collaborated with internal and third-party teams to ensure the smooth functioning of the platforms.

Rafa then moved on to work at Melior.AI in 2018 as an artificial intelligence advisor. Rafa'smain responsibilities included providing AI expertise and guidance to the company's projects. Later, they transitioned to the role of an AI engineer and researcher, specializing in NLP. Rafa developed chatbot solutions, semantic search engines, conversation insights, and NLU systems using technologies such as Python, Deep Learning, TensorFlow, Keras, Git, Kubernetes, Docker, and MongoDB.

In 2023, Rafa joined Smadex as a senior machine learning engineer, where they continue to apply their expertise in ML to create innovative solutions.

Overall, Rafa Chica's work experience showcases their proficiency in artificial intelligence, specifically in NLP, machine learning, and backend software development for various industries such as finance, sports betting, and document analysis.

Rafa Chica obtained a Master's degree in Computer Engineering from Universitat Politècnica de Catalunya, which they attended from 2008 to 2015. Additionally, they have several certifications in different areas such as machine learning, data pipelines, AI engineering, and advanced techniques in TensorFlow. Rafa has completed certifications from Coursera, IBM, IBM Skills Network, and DeepLearning.AI. Rafa obtained their most recent certifications in May 2023, specifically in "Building Machine Learning Pipelines with PySpark and MLlib" from Coursera and "ETL and Data Pipelines with Shell, Airflow, and Kafka" from IBM.