Blaz Fortuna
Co-Founder And Co-CEO at Nordoon
San Francisco, California, United States
Summary
👤
Senior🎓
Top SchoolBlaz Fortuna is a founder and AI product leader with 13 years of experience building production-grade machine learning systems and commercial AI products. As Co-Founder and Co-CEO of Nordoon and former CEO of Qlector, he has repeatedly taken research ideas—real-time analytics, event extraction, cross-lingual recommendation—and turned them into market-ready solutions for manufacturing and media. His long research tenure at the Jozef Stefan Institute and stints at Stanford, Bloomberg, and Microsoft Research underpin deep expertise in streaming data, unstructured text, and scalable analytics, including contributions to the QMiner real-time analytics platform. He combines hands-on engineering with mentorship and team leadership, routinely guiding students and engineers from prototype to deployment. Based in Ljubljana with a PhD in Artificial Intelligence and a background in applied mathematics, he blends rigorous academic methods with product-focused execution. Colleagues describe him as someone who bridges long-term research vision with pragmatic, impact-driven delivery.
13 years of coding experience
21 years of employment as a software developer
Young Managers Program, Young Managers Program at IEDC - Bled School of ManagementPhD Artificial Intelligence, PhD Artificial Intelligence at Mednarodna podiplomska šola Jožefa StefanaBachelor of Science (BSc) Applied Mathematics, Bachelor of Science (BSc) Applied Mathematics at University of Ljubljana
English
Stackoverflow
1reputation
0reached
0answers
0questions
Github Skills (31)
javascript10
signal-processing10
data-mining10
machine-learning10
unstructured10
large-scale10
scale10
unstructured-data10
text-mining10
cpp10
mining8
64-bit7
bit6
snap6
graph5
Programming languages (5)
Github contributions (5)
blazf/dmoz
Dec 2016 - Feb 2022
Contributions:1 review, 2 PRs, 8 pushes in 5 years 2 months
gregorleban/Qminer
Sep 2015 - Jul 2024
Analytic platform for real-time large-scale streams containing structured and unstructured data.
Contributions:4 PRs, 2 pushes, 1 comment in 9 years
structuredanalyticstreamsmachine-learningscale
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