My role has spanned from software architect and senior DevOps to project manager, leading a team using the Scrum methodology. In DevOps, I designed and implemented the entire infrastructure using Kubernetes, Gitflow, Ansible and a CI/CD pipeline, culminating in the full migration of the architecture to AWS. As a software architect, I have led projects following DDD (Domain-Driven Design) and TDD (Test-Driven Development) methodologies.

I am the co-founder of Nordly Arrow, a company specialized in optimizing business processes, addressing areas such as inventory management, customer relations, billing, and accounting. To achieve these objectives, we implement innovative technologies such as Enterprise Resource Planning (ERP), Customer Relationship Management (CRM), data science, blockchain, customized software, and artificial intelligence.

ENIGMA - Expert Node Integration for Graph-based Metadata Anonymization:I developed a k-anonymization algorithm to protect sensitive data, ensuring that datasets do not identify specific individuals. I implemented advanced generalization techniques to preserve data utility for statistical analysis and research, optimizing the algorithm's performance to efficiently handle large volumes of data.Ontobridge:I have collaborated on the development of OntoBridge. OntoBridge is a tool based on ontologies, designed to standardize local clinical databases by transforming them into various Common Data Models (CDMs). I worked as a software architect on this project, containerizing the components into microservices and managing the entire system with an orchestrator. In addition to designing the architecture, I optimized the execution time, ensuring that the tool is not only scalable and efficient but also fast and reliable.

I participated in a project where I implemented and configured SLURM queues, used for managing job scheduling and resource allocation in high-performance computing environments. SLURM enables efficient distribution of computing resources like processors and GPUs among users' tasks.My role involved installing SLURM, which included setting up essential software components and dependencies on the server cluster. Additionally, I configured SLURM by setting up queues to optimize task allocation across the cluster. This included configuring job priorities, scheduling policies, and resource limits to improve system throughput and reduce job wait times.

The Undergraduate Thesis Project implements a prediction-based lossless compression of hyperspectral images using machine learning as the continuation of the internship.One of the tasks developed was the recreation of the Context-Based, Adaptive, Lossless Image Coding on Python, the encoder, and the decoder.

Internship at Institut d'Estudis Espacials de Catalunya (IEEC) based on improving lossless image coding using machine learning.

I develop a dockerized web robot to perform web scraping for collecting bills and data from electric companies, supported by a microservice that monitors its performance and sends email alerts in case of failures. Additionally, implement a tabular data import feature that allows users to configure business rules via the front end, applying them dynamically on the back end to ensure data consistency and support related web services.

I was working for around six months in customer support in 2021. My function was to explain and answer any queries that the client had about the electricity bill.

My function was to take an order and serve the food.