Technical project delivery
Requirements, planning, risk management, stakeholder coordination, testing, documentation, and implementation.
Delivery · Governance · Change · Scrum
Section 03 · About
Diego Blanco Larios
Hello! I’m Diego, a computer engineer based in San José, Costa Rica. I work across software, systems, cloud services, automation, infrastructure, and technical project coordination. I also enjoy working with AI and machine learning. In general, I like to tinker.
And I believe tinkering is the key to understanding things and applying knowledge. I like understanding how parts of a system fit together, how people use those systems in practice, and whether an awkward or repetitive part can be simplified or improved. This site is where I keep the projects, experiments, and notes that I think are worth sharing.
- Based in
- San José, Costa Rica
- Experience
- 14 years in technology
- Languages
- Spanish, English, German A2
Work
What I work with
Microsoft cloud and IT systems
Administration and improvement of Microsoft 365, Entra ID, collaboration services, identity and access management, virtualization, and supporting infrastructure.
Microsoft 365 · Entra ID · Azure · RDS
Automation
Workflows for reporting, document exchange, internal processes, and data movement, with an emphasis on reducing repeated manual work.
Power Automate · Python · APIs · SQL
Software, data, and applied AI
Web applications, internal tools, data processes, integrations, and practical experiments with predictive models and generative AI workflows.
.NET · JavaScript · Python · LLM APIs
Background
Education and certification
Master’s in Project Management
Universidad Nebrija · 2020–2022
Bachelor’s in Computer Engineering
Instituto Tecnológico de Costa Rica · 2008–2012
Professional Scrum Master I
Scrum.org
Independent work
Projects outside my regular roles
Predictive modeling
I work on predictive models from time to time and usually end up making visualizations alongside them. What I enjoy is the point where data becomes information and that information becomes knowledge. Visualizations that can be understood at a glance are particularly interesting to me; sometimes a simple comparison or a clear chart is the better answer, or at least the most efficient one.
Generative AI workflows
I also spend a lot of time experimenting with local AI tools, especially for images, video, restoration, voice, and LLMs. Most of that happens in ComfyUI because I like putting the workflow together and being able to change each step. When the available nodes do not quite fit what I am trying to do, I sometimes make my own.