Experience

Dcycle

• Spain
• Software Development
• 1 - 100 Employee

• Backend Python Developer

  • Jun 2022 - Present

  Contributed to the development of a cutting-edge SaaS product focused on measuring environmental impact as part of a highly skilled and motivated team. I was responsible for the backend of the application, designing and optimizing its calculation and data-based components. This led to a significant improvement in the product's efficiency and user experience, resulting in a stable and market-ready product that was launched in a fast-paced and agile environment. The main technical stack was chosen for its robust and efficient features to support the development of the SaaS product: • Python, versatility and widespread use in the industry. • FastAPI as the main web framework for API endpoints, leveraging its speed and simplicity. • Pydantic, used for data validation. • PostgreSQL. • SQLAlchemy as the PostgreSQL database management tool, in order handle the persistent storage of data. • Pytest as the testing framework. The application was deployed using AWS services for a scalable and reliable cloud including: • AWS Lambdas for serverless functionality, providing cost-effective and flexible computing resources. • AWS RDS was employed for data persistence, ensuring that the data was securely stored. • API Gateway and EventBridge to manage API endpoints and event-based functionalities. Some additional Data Analysis Tools used: • Numpy • Pandas • Jupyter Notebooks These tools helped in the analysis and interpretation of large amounts of data, resulting in accurate and data-driven decision making. Show less



BOTECH

• Spain
• Security and Investigations
• 1 - 100 Employee

• Backend Python Developer

  • Jun 2021 - Jun 2022

  As a member of a cross-functional team, I was responsible for developing a cyberintelligence-based application aimed at mitigating malicious data. This advanced solution was developed using the latest technologies and techniques, with a focus on ensuring its efficiency and effectiveness in a fast-paced environment. For that purpose the following technology stack has been used: • Python • Django3 as the development framework • ElasticSearch-Logstash-Kibana (ELK) as the search and data analysis • Pytest as the testing framework To facilitate the development process, I also employed a range of additional tools and services, including: • MySQL for data management • Redis for in-memory data storage • Gunicorn for server management • Celery for task management and distributed computing • Docker for containerization I also supported the optimization and design of a unsupervised fraud outlier detection model for a client in the security sector. The model helped in detecting fraudulent data by leveraging the following technology stack: • Python3 as the programming language • Scikit for machine learning • Numpy for numerical computing • Pandas for data analysis and manipulation • Matplotlib for data visualization Show less



AEMet - Agencia Estatal de Meteorología

• Santa Cruz de Tenerife, Canarias, España

• Software engineer

  • Mar 2020 - Jun 2020

  In this internship, I used Flask as the development framework to bring about significant changes to an existing web application. I implemented a data access model based on SQLAlchemy, as well as components for visualizing time series meteorological data. I also successfully migrated the data from the outdated format in the database to the newly designed database. In this internship, I used Flask as the development framework to bring about significant changes to an existing web application. I implemented a data access model based on SQLAlchemy, as well as components for visualizing time series meteorological data. I also successfully migrated the data from the outdated format in the database to the newly designed database.