Juan Sánchez Blázquez

• Development of microservices in Python (FastAPI, Flask). • Design and implementation of queries to relational databases (PostgreSQL, MySQL) together with the use of ORM (SQLAlchemy) for Python development. • Use of AI in different projects for data extraction and data processing from documents. • Prompt engineering work (LLM). • Agile Methodologies (Scrum) with GitHub Projects. • Application deployment (Docker).

· Study of different Machine Learning models (Neural Networks, Gradient Descent). · Use of classification and regression algorithms (Decision Trees, SVM) in the same use case using different metrics (F1, ROC, AUC) to evaluate their results. · ETL operations to subsequently work with such data using structures such as DataFrames (Pandas). · Use of Python libraries (Faker) to generate multiple data to feed a database and implement ML models.