Roberto Iriondo
Advisor And Consultant at Ultrarix Capital Partners
Florida, United States
Summary
🤩
Rockstar🎓
Top SchoolRoberto Iriondo is an advisor and consultant with eight years of experience helping AI companies scale through data-driven marketing, SEO, and web strategy. He co-founded Towards AI, growing it into a widely followed AI publishing platform that was acquired in 2022, and continues to advise its leadership on content and distribution. Roberto blends hands-on technical skills—contributing backend and ML tutorials to open-source projects—with strategic marketing roles at startups like Snorkel AI and Cohere. He has led high-impact content programs for academic and industry audiences, including work that made a CMU machine learning research blog one of the most visited in the field. Based in Florida, he also partners in investment and real estate through Ultrarix Capital Partners, bringing a cross-disciplinary perspective to growth and monetization. Notably, his background fuses practical development experience with executive-level technical marketing, making him effective at translating complex AI work into measurable audience growth.
8 years of coding experience
6 years of employment as a software developer
Dropout Industrial Engineering, Dropout Industrial Engineering at Universidad Católica de Santa MaríaComputer Science, Computer Science at Community College of Allegheny CountyEntrepreneurship , Entrepreneurship at Carnegie Mellon University
Spanish, English
Github Skills (6)
scikit10
linear-regression10
machine-learning10
recommendation-system10
python10
scikit-learn10
Programming languages (7)
Github contributions (5)
towardsai/tutorials
Jul 2020 - Jun 2022
AI-related tutorials. Access any of them for free → https://towardsai.net/editorial
Role in this project:
Back-end Developer & ML Engineer
Back-end Developer & ML EngineerContributions:1 review, 97 commits, 2 PRs in 1 year 11 months
Contributions summary:Roberto updated a linear regression example, modifying code for model training, prediction, and accuracy assessment using scikit-learn. They also added a new tutorial, likely involving a recommendation system and implemented a regression model that included several new features. Furthermore, the user added tutorials including different machine learning algorithms. They appear to be contributing core functionality and extending the project's machine learning capabilities.
pythonmathematicssentiment-analysiseditorialapl
towardsai/sponsors
Apr 2021 - Oct 2023
Contributions:25 pushes, 1 branch in 2 years 6 months
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