Working in MLOps, Data Management, and development of software related with LLMs and MLLMs.

· 2024-2025 Q1: Data Mining (Bachelor Degree in Informatics Engineering - FIB Facultat d'Informàtica de Barcelona).· 2023-2024 Q2: Data Mining (Bachelor Degree in Informatics Engineering - FIB Facultat d'Informàtica de Barcelona).· 2023-2024 Q1: Data Mining (Bachelor Degree in Informatics Engineering - FIB Facultat d'Informàtica de Barcelona).· 2022-2023 Q2: Data Mining (Bachelor Degree in Informatics Engineering - FIB Facultat d'Informàtica de Barcelona).

· Working in the construction from almost the ground up of this technological startup as a member of operation's team. · Our main goal is to automate the production line in order to increase production capacity and decrease production costs by systematizing the production processes that involves refurbishing motorbikes.Tech stack (Engineering): Django (Python) for backend, ReactJs and NextJs for Frontend, MySQL, Docker, Kubernetes, AWS, Datadog, Git (Github).Tech stack (Data): Metabase for BI, PySpark for ETLs and other tools such as Airflow for automating scheduled tasks (DAGs) and the common Python libraries for ML and Data Science like Pandas or Scikit-learn.

· My role in Bling until the end of operations was working in developing, maintaining and making grow the payments platform.· During this period, we managed to scale the product until having more than 1 million active users and serving more than 1 million of cash advances.· In this months, we have successfully faced lots of technical challenges, for instance migrating the hole infrastructure from Google Cloud services to AWS.· We also managed to successfully achieved others goals, like working and communicating and coordinating very effectively between different teams (from product to QA) and working whit high efficiency in a squad with members spread over two countries (France and Spain).Tech stack: Django (Python), Docker, PostgreSQL, Celery, Redis, Git, DataDog, Google Cloud, AWS

Development of backend and APIs for different projects, including the BNEW platform 2021.Tech stack: Django (Python), Docker, Git (Github), PostgreSQL.

Working on the development and improvement of the platform Proto&Go!. Implementing solutions based on Machine Learning to improve the user experience and platform performance.· Develop of products for internal use from scratch for data collecting, maintenance and cleaning. · Implementation of Machine Learning and Deep Learning algorithms for classification and prediction.· Dev/ops, maintenance and continuous integration of the created platforms.Tech stack (Artificial intelligence): Python (Numpy, Pandas, Matplotlib, Seaborn and Bokeh for data visualization, Scikit-learn for Machine Learning models and TensorFlow and Keras for Deep Learning implementations).Tech stack (Full Stack): Django (Python framework), HTML5, CSS, JavaScript (vanilla and threeJS). Tech stack (Dev/ops): Docker, Jenkins.

· Maintain the company's main website.· Create, upload and update web pages for different projects (Autonomous Driving Challenge 2018, Citython 2018, Symposium 2018).· Layout and disseminate newsletters through the platform MailChimp.· Participate in the organization and development of the event Citython 2018 (a Hackathon focused on the development of products and services related to the concept 'Smart Cities').Tech stack: HTML 5, CSS, JavaScript.