As a Senior Software Engineer, I contribute to the design and development of software applications for European Space Agency projects. I successfully delivered 5 projects (TRLs 3–7) across domains including AI, satellite ground stations, and cloud digitalization. Architected and deployed scalable backend systems for advanced satellite monitoring, integrating with ESOC operation systems to ensure real-time reliability. Designed and optimized infrastructure to support multi-mission operations, enhancing scalability and efficiency. Designed and implemented cloud-based solutions using AWS to modernize legacy processes, improving deployment speed and system scalability. Led and mentored a backend team of 2 junior engineers, practicing Agile methodologies, fostering a culture of growth and collaboration. Engage with stakeholders to successfully optimize project requirements. Collaborated on writing winning proposals, successfully securing two new projects.

As a Software Engineer in the Payments team, I took part in the software development and maintenance of the company’s payment processing systems as well as the architecture of new software features. These systems spanned across 4 LatAm and 1 European market supporting a total of 6 million users and processing 4.5 million euros per month. I oversaw and led the software development of the company’s new invoicing system which integrated with 2 invoicing providers from the LatAm markets and resulted in successfully increasing the reliability and scalability of the invoicing processes. Participated in on-call duties once a month. To help our payments support department handle internal reporting, I developed a tool that handled historical invoicing data to produce meaningful reports, which resulted in a faster and more accurate process.

I was part of the tech team responsible for improving and maintaining Paydia the company’s main product. I was given ownership of 2 projects, Invoicing and Registration, to redesign and refactor them, successfully enhancing the performance of these systems by 40%. Due to the database’s poor design the system had performance issues and performed some optimizations to improve it (apply right indices, optimize queries, apply caching).

I was part of the product department focusing on maintaining and developing the company’s No-Code platform as well as adhere to our clients’ requirements and build features for them. I was part of the R&D department which focused on developing applications and systems that supported the main product. In this regard I contributed to the development of a cloud IDE for application building using the main NoCode platform as well as 4 cross-platform mobile applications. Responding to a client's need for dynamic document analysis, I implemented Optical Character Recognition (OCR) technology to extract text from PDF files. The solution proved so effective that it was subsequently adopted by additional clients across different projects.

I was part of the team as a Junior Software Engineer, contributing to bug-fixing and creating new features for the company’s products which resolved around the domain of betting.

My thesis focused on Natural Language Processing (NLP) to identify fake news in a series of texts of variable size using Deep Learning and Machine Learning methods. Completed a series of data science related projects like sentiment analysis or Scala/Spark recommendation systems