Hi, I'm
PhD in Computer Science · Technology Consultant at LKS Next
Specialising in GenAI and Data Spaces.
I'm a Technology Consultant at LKS Next and a PhD in Computer Science from the University of the Basque Country (UPV/EHU). My research focused on Software Product Lines (SPL) and feature-oriented visualisation, bridging academic rigour with real-world software engineering challenges.
Today I specialise in Generative AI, LLMs, and Data Spaces, helping organisations design and deploy intelligent solutions that are practical, scalable, and aligned with emerging European data-governance frameworks such as Gaia-X and IDSA.
I enjoy the full arc from research to production: exploring novel ideas, building prototypes, and shipping software that makes a tangible difference. When I'm not coding or consulting, I like to write about AI trends and share open-source tools with the community.
rmedeirosperez[at]gmail.com
University of the Basque Country (UPV/EHU)
Research on Software Product Lines and feature-oriented visualisation. Thesis defended June 2024.
University of Murcia
Master's programme in advanced computer science and software engineering.
University of the Basque Country (UPV/EHU)
Bachelor's degree in Computer Science Engineering.
LKS Next
Advising clients on GenAI strategies, Data Spaces architecture, and AI-driven product development. Designing and implementing LLM-powered solutions using Python, LangChain, and cloud infrastructure.
University of the Basque Country (UPV/EHU)
Conducted research in Software Product Lines, feature modelling, and collaborative software visualisation. Published 9 peer-reviewed articles; co-developed open-source browser extensions for SPL analysis.
Indaba
Full-stack development of enterprise web applications. Worked with Java EE, Angular, and REST APIs in an agile team environment.
AMPO
Developed internal tools and automation scripts to improve manufacturing process management.
Gaia Net Exchange
Assisted in the development and maintenance of web-based exchange platform features.
CustomDiff: Visualising custom differences in annotative Software Product Lines
Collaborative Analysis of Differences in Software Product Lines
Textual Differences Visualization in Annotative Software Product Lines with CustomDiff
Supporting Variability-Aware Traceability in Software Product Lines
Feature-Oriented Visualization of Differences in Annotative Software Product Lines
FeatureCloud: Sharing and Reusing Features in the Cloud
On the Visualization of Variable Systems: A Systematic Mapping Study
Identifying Differences Among Annotative SPL: An Empirical Study
Exploring the Visualization of Configurable Systems: An Analysis of Existing Notations
Open-source tools developed during my research on Software Product Lines.
A browser extension that visualises custom differences in annotative Software Product Lines. It highlights feature-specific code regions to help developers understand and compare product variants directly within their workflow, reducing the cognitive overhead of SPL analysis.
View on GitHubA cloud-based platform for sharing and reusing features across Software Product Lines. FeatureCloud enables teams to discover, publish, and integrate SPL features through a centralised repository, fostering collaborative development and reuse of variability assets.
View on GitHubHave a project in mind or want to connect? Drop me a message.