Aitor Alonso is a Co-Founder and senior full-stack engineer with 10 years of experience building production-grade AI systems, data platforms, and analytics products from Madrid. He co-founded 1Node to help enterprises deploy multi-agent AI solutions and private infrastructure with a security-first approach, drawing on startup scaling experience and $10M fundraising insight. Technically versatile across Python, Elixir, Go, TypeScript and React, he pairs hands-on development and DevOps instincts with a history of improving UX and data pipelines—evidenced by contributions to Umami and a comprehensive data-structures library. His background spans analytics roles at Spaceflow and the Inter-American Development Bank, where he built organization-wide dashboards and data foundations that became competitive differentiators. Notably, he combines product-focused engineering with measurable business impact, guaranteeing significant cost savings by migrating clients to private AI infrastructure.
10 years of coding experience
2 years of employment as a software developer
Bachelor's degree, Bachelor's degree at KU Leuven
Master's degree, Master's degree at EAE Business School
Your personal library of every algorithm and data structure code that you will ever encounter
Role in this project:
Back-end Developer
Contributions:13 commits, 5 PRs, 4 comments in 2 days
Contributions summary:Aitor contributed significantly by implementing fundamental data structures like queues and stacks using both array and double linked list implementations in Python and Java. They focused on core functionality, including enqueue/push, dequeue/pop, and size operations, and corrected bugs related to empty queue/stack scenarios. Furthermore, the user clarified comments, improving the readability of the code.
Umami is a simple, fast, privacy-focused alternative to Google Analytics.
Role in this project:
Full-stack Developer
Contributions:2 PRs, 7 comments, 7 issues in 3 years 4 months
Contributions summary:Aitor contributed to the Umami project by implementing new features and fixing bugs related to the event data dashboard and chart visualizations. They updated the API to include event names and modified the database queries to support the new functionality. Furthermore, the user worked on the front-end, enhancing the event data table and value table components to display event-related information. Overall, the user's work focused on improving the user experience and data presentation within the analytics platform.
chartsanalyticsstatisticsprivacyprivacy-focused
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