Rizqi Ekoputris is an experienced AI specialist and machine learning engineer with 11 years in the field and a Master’s in Machine Learning and Computer Vision from ANU, backed by an Australia Awards Scholarship. He has applied computer vision and data science across healthcare, agriculture, transportation, property, and e-government, delivering practical systems from drone-based crop segmentation to automated grave plotting and property price estimators. Rizqi blends research rigor—demonstrated in a CSIRO Data61 thesis on diverse video summarization—with hands-on production deployments at startups and platforms like Nodeflux, Pinhome, and Chronicle. He currently advises the ITU-UN on agentic and multi-agent AI for cities, shaping governance and toolboxes for responsible urban AI. Known for mentoring and community engagement in Indonesia, he pairs strong quantitative skills with a talent for turning novel ML research into reliable, operational products. An understated strength is his track record of building AI agents and automation pipelines that bridge messy real-world data to scalable services.
11 years of coding experience
6 years of employment as a software developer
Australian National University
Bachelor's degree, Informatics Engineering, Bachelor's degree, Informatics Engineering at Institut Teknologi Sepuluh Nopember (ITS)
Contributions:3 commits, 8 pushes, 1 branch in 1 day
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Rizqi Ekoputris - AI Advisor For Agentic AI In Cities at Omdena