I hold a degree in computer science and a PhD in engineering, with experience in development and technical leadership, primarily in e-commerce projects and customer loyalty programs. For years, I worked on building systems that needed to scale, integrate with multiple platforms, and support technical decisions in high-demand and constantly changing environments.
Over time, I've come to understand that many of the most complex challenges aren't purely technical. Architecture matters. Code quality matters. But coordination, decision-making under uncertainty, and team dynamics are often the true critical points.
Today, I'm particularly interested in how development teams operate in the era of generative AI. AI accelerates production, but it also amplifies risks: technical debt, superficial decisions, loss of shared criteria, and burnout during review. I believe that competitive advantage no longer lies solely in using advanced tools, but in how individuals and teams integrate them sustainably. I believe these tools don't replace human judgment; rather, they demand it even more.
I work from a socio-technical perspective: integrating the technical, the human, and the organizational to sustain quality, learning, and coordination in high-speed environments. That's why my work lies at the intersection of technology, decision-making, and team dynamics to help build systems and organizations that not only work, but endure. I address these issues through both professional practice and applied research.
I am interested in contributing to:
Strengthening technical teams
Decision-making in contexts of uncertainty
Technical and human sustainability in systems development
Responsible and strategic integration of AI in systems development processes
I believe in a long-term mindset. In systems that not only work today but can be sustained and evolve over time.
October 2024 - December 2024 Research stay at IMT Mines Alès.
Presentations
Nov 2025 CoNaIISI 2025. Conflictos por Pares en Proyectos de Software: Un Estudio Empírico.
Aug 2024 CLEI 2024. IPOptimizer: A Tool to Optimize the Pull Request Integration Process.
Aug 2024 JAIIO 2024. Pull Requests Integration Process Optimization: An Empirical Study.
Nov 2023 Defense of doctoral thesis.
Apr 2022 ENASE 2022. Improving Integration Process Efficiency Through Pull Request Prioritization. [view]
Publications
A. Olmedo and L. Barbeito, "IPOptimizer: A Tool to Optimize the Pull Request Integration Process," 2024 L Latin American Computer Conference (CLEI), Buenos Aires, Argentina, 2024, pp. 1-4, doi: 10.1109/CLEI64178.2024.10700277. [view]
Olmedo, A., Arévalo, G., Cassol, I., Perez, Q., Urtado, C., Vauttier, S. (2023). Pull Requests Integration Process Optimization: An Empirical Study. In: Kaindl, H., Mannion, M., Maciaszek, L.A. (eds) Evaluation of Novel Approaches to Software Engineering. ENASE 2022. Communications in Computer and Information Science, vol 1829. Springer, Cham. https://doi.org/10.1007/978-3-031-36597-3_8
Olmedo, A., Arévalo, G., Cassol, I., Urtado, C., & Vauttier, S. (2022, April). Improving Integration Process Efficiency through Pull Request Prioritization. In ENASE 2022-17th International Conference on Evaluation of Novel Approaches to Software Engineering (pp. 62-72). SCITEPRESS-Science and Technology Publications. [view]