Ivan Achille is an Applied AI Engineer based in Amsterdam with 9 years of experience turning research into production-grade features for collaborative design platforms. At Miro he builds canvas-native AI—spatial reasoning, agentic composition over infinite boards, and visual context processing—work that shipped as a core Canvas25 feature. Previously at Uizard he architected the data stack and led predictive modelling, experimentation design, and network analysis to drive product growth. He blends hands-on engineering with product analytics and a background in commercial science, making him adept at aligning ML solutions to user and business metrics. Curious and interdisciplinary, he’s comfortable moving from low-level data infrastructure to high-level agentic systems and often explores ideas that push interfaces further beyond.
9 years of coding experience
4 years of employment as a software developer
Professional Education, Data Science School, Professional Education, Data Science School at Platzi
Specialization, Statistics, Programmatic Statistical Science, Specialization, Statistics, Programmatic Statistical Science at Duke University
Commercial Science, Business/Commerce, General, Commercial Science, Business/Commerce, General at University of Buenos Aires
Contributions:31 pushes, 1 branch in 2 years 2 months
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