Sandi Mikus
Software Developer at Advansys
Ljubljana, Slovenia
Summary
👤
Senior🎓
Top SchoolSandi Mikus is a software developer with 13 years of experience, currently at Advansys after eight years building product and engineering at Bignest as a founding team member. He holds an M.Sc. in Computer and Information Science from the University of Ljubljana and has a background in full-stack development, startups, and web engineering. As an active open-source contributor, he has improved machine learning components in the well-known Orange3 data analysis library, updating SGD classifier behavior and scikit-learn compatibility. He has a track record of practical hackathon success—winning awards for IBM Bluemix usage, UX, and developer tooling—and a history of founding a niche analytics startup, The Poker Notes. Based in Ljubljana, Sandi blends research-grade academic training with hands-on product delivery and a knack for maintaining ML tooling in production ecosystems.
13 years of coding experience
1 year of employment as a software developer
Master of Science (M.Sc.), Computer and Information Science, Master of Science (M.Sc.), Computer and Information Science at University of Ljubljana, Faculty of Computer and Information science
English
Github Skills (14)
scikit10
machine-learning10
orange10
python10
scikit-learn10
data-science9
data-mining9
regression8
classification8
numpy7
pandas7
data-visualizations6
data-visualization6
data-visualisation6
Programming languages (2)
Github contributions (5)
biolab/orange3
Feb 2018 - Feb 2018
🍊 :bar_chart: :bulb: Orange: Interactive data analysis
Role in this project:
ML Engineer
ML EngineerContributions:5 commits, 1 PR, 7 comments in 1 day
Contributions summary:Sandi primarily focused on modifying and maintaining the machine learning components within the Orange3 library. Their contributions involved fixing deprecation warnings related to model parameters, improving compatibility with newer versions of scikit-learn, and updating the SGD (Stochastic Gradient Descent) classifier to align with recent changes in the scikit-learn library. These changes included adjusting default parameter values and adding new configuration options to the SGD widget for data analysis workflows.
orangepythondata-miningorange3scipy
smiks/CoolTools
Dec 2014 - Jul 2019
Contributions:68 commits, 52 pushes in 4 years 7 months
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