Anže Alič is a data scientist with eight years of hands-on experience building and deploying ML and deep learning systems across industry and research. Currently at Outbrain, he develops production-ready models for CTR prediction after prior roles applying computer vision and audio-signal deep learning—from bat call classification at Jozef Stefan Institute to EEG and dementia-screening projects. He has practical experience optimizing training and replacing legacy ranking models (DeepFM → Deep&Cross) and a track record of moving prototypes into production. Comfortable across the ML lifecycle, he pairs strong analytical foundations from a math-and-CS background with a master’s in data science. Based in Ljubljana, he favors pragmatic, reproducible solutions that bridge research rigor and product impact. Outside core projects he has built mobile and sensor-integrated apps, reflecting a breadth that spans embedded data collection to large-scale model serving.
8 years of coding experience
3 years of employment as a software developer
Master's degree, Data Science, Master's degree, Data Science at University of Ljubljana, Faculty of Computer and Information Science
Bachelor's degree, Mathematics and Computer Science, Bachelor's degree, Mathematics and Computer Science at University of Ljubljana
Ruby gem for interaction with Cisco Intersight API
Contributions:3 reviews, 9 commits, 9 PRs in 7 months
intersightapiinteractionruby-gemcisco-intersight
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