Anže Starič
Development Team Lead at BE-terna
Ljubljana, Slovenia
Summary
🤩
Rockstar🎓
Top SchoolAnže Starič is a development team lead with 14 years of experience building production-grade software and data pipelines across bioinformatics, ML, and enterprise ERP domains. He combines hands-on engineering (Python, AWS, Ray, PyQt, Microsoft Dynamics) with proven delivery skills, having led teams that turned long-running bioinformatics scripts into modular, tested pipelines and cut processing times from weeks to days. As a contributor to notable open-source ML projects like scikit-learn and Orange/Orange3, he has focused on Python 3 migration, API integration, and improving documentation and maintainability. His recent work includes constructing million+ hour multilingual ASR training datasets and architecting data-scraping/back-end systems for complex domain data. Comfortable moving between research-driven code and business-facing systems, he blends academic roots from the University of Ljubljana with practical experience migrating ERP extensions and integrating heterogeneous services. Colleagues describe him as a pragmatic problem-solver who prefers refactoring for long-term velocity over quick fixes.
14 years of coding experience
18 years of employment as a software developer
BS Computer Science and Mathematics, BS Computer Science and Mathematics at University of LjubljanaGimnazija Bežigrad
English, Slovenian
Github Skills (20)
web-widgets10
pyq10
python10
widgets10
scikit10
data-mining10
machine-learning10
pyqt10
scikit-learn10
data-science9
lib9
code-library9
documentation9
data-analysis9
numpy8
Programming languages (10)
Github contributions (5)
biolab/orange3
Jan 2012 - Oct 2018
🍊 :bar_chart: :bulb: Orange: Interactive data analysis
Role in this project:
Data Scientist & ML Engineer
Data Scientist & ML EngineerContributions:3 releases, 1722 commits, 814 PRs in 6 years 10 months
Contributions summary:Anže's commits focus on integrating the PyQt API v2, fixing import statements, and adapting the codebase to ensure compatibility with Python 3. They addressed issues with resource loading, particularly within the canvas framework, and resolved problems related to the use of pkg_resources. The user was also involved in refactoring the settings and signals handling, indicating their work on the project's internal structure and API.
orangepythondata-miningorange3scipy
biolab/orange2
Jan 2012 - Sep 2017
DEPRECATED: Orange 2 (Python 2) data mining suite. NEW: https://github.com/biolab/orange3
Role in this project:Backend Developer
Backend DeveloperContributions:200 commits, 3 PRs, 4 pushes in 5 years 8 months
Contributions summary:Anže primarily worked on the Orange data mining suite, contributing to its codebase through various commits. These commits focused on tasks like setting the version number, adding path configurations for documentation, and refactoring and documenting the code for various machine learning algorithms within the library. They improved documentation for bayes classifiers and instance distance calculations, indicating a focus on improving the usability and understanding of the library's components. The changes also suggest work related to refactoring and maintenance.
data-analysispythonminingorangedata-science
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