CEO
Ratio1.ai
Open-source, decentralized AI infrastructure. I lead technical and product strategy for AI execution, edge inference, and MLOps across heterogeneous devices.
AI founder & researcher
Andrei Ionuț
Damian.
I lead Ratio1.ai, teach Data Science with Deep Learning, and evaluate ICT research projects.
My work connects AI research with software people can use: from computer vision and predictive analytics to decentralized AI infrastructure.
01 / Current work
Research meets practice.
Senior Lecturer
University Politehnica of Bucharest
I teach Data Science with Deep Learning to master’s students, bringing research and experience building AI products into the classroom.
Expert evaluator
European & regional research programmes
Technical and scientific evaluation of ICT projects and proposals, including AI, cybersecurity, cloud computing, and IoT. Over 20 evaluation sessions between 2004 and 2026.
Open-source project
PurpleRay.
A closer look at what’s in your software.
A desktop SBOM analyzer for Windows and Linux. Inspect local software, export a CycloneDX inventory, and compare scans. Offline by default.
Explore PurpleRay02 / Selected research
Ideas behind the systems.
-
2025
Ratio1 — AI meta-OS: decentralized MLOps and beyond
Decentralized infrastructure for the AI lifecycle · arXiv preprint
-
2021
SOLIS — The MLOps Journey from Data Acquisition to Actionable Insights
From data collection to deployed AI systems · arXiv preprint
-
2019
CloudifierNet — Deep Vision Models for Artificial Image Processing
Computer vision for artificial images · Procedia Computer Science
03 / Background
Along the way.
2018–2025
Founder & Chief Data Scientist, Lummetry.AI
Applied AI, predictive analytics, and computer vision across healthcare, security, retail, and logistics. Acquired by GTS Global Intelligence in 2021.
2016–2018
Chief Data Scientist, Cloudifier
Deep learning, artificial-scene analysis, and GPU-enabled AI environments.
Earlier work includes founding Knowledge Investment Group, technology strategy, and public-sector ICT leadership.
Education
A research foundation.
2022
PhD, Computers and Information Technology
University Politehnica of Bucharest. Research on artificial-scene inference and parallel tensor-graph execution; defended in December 2021.
2020–2021
Artificial Intelligence Professional Program
Stanford Center for Professional Development.
2000
MSc-equivalent Engineering Degree in Computer Science
University Politehnica of Bucharest, Faculty of Automatic Control and Computers. Five-year programme.