Olga Bulat
Full Stack Software Engineer at Parse.ly
Istanbul, Istanbul, Canada
Summary
🤩
Rockstar🎓
Top SchoolOlga Bulat is a Full Stack Software Engineer with a decade of experience building user-focused web applications and open-source tooling, currently contributing to Openverse at Automattic and shaping analytics features at Parse.ly. She bridges front-end Vue.js work and Python/Django back-ends, with notable contributions to Creative Commons’ CC Search frontend, the Mathesar data-import backend, and cross-platform GUI testing for the Beeware Toga toolkit. Her background in UX-driven implementations—like the License Chooser—and attention to test coverage and serialization edge cases show a strong commitment to reliability and usability. Based in Istanbul with international experience, she combines product-minded engineering with open-source stewardship, mentoring community projects and improving code quality across repos.
10 years of coding experience
Specialist Tourism and Travel Services Management, Specialist Tourism and Travel Services Management at Al-Farabi Kazakh National UniversityMaster of Arts (M.A.) Teaching of English to Young Learners, Master of Arts (M.A.) Teaching of English to Young Learners at University of York
English, Russian, Turkish
Github Skills (25)
web-widgets10
javascript10
postgresql10
widgets10
python10
django10
testing10
front-end-development10
vue10
frontend10
test-automation10
api-design9
vuex9
multiplatform9
cross-platform9
Programming languages (15)
Github contributions (5)
beeware/toga
Feb 2018 - Jun 2021
A Python native, OS native GUI toolkit.
Role in this project:
Full-stack Developer
Full-stack DeveloperContributions:9 reviews, 169 commits, 48 PRs in 3 years 4 months
Contributions summary:Olga contributed significantly to the `toga` project, focusing on the implementation of new widget tests. The contributions include adding test suites for various core widgets like `Box`, `MultilineTextInput`, `NumberInput`, `PasswordInput`, `Image`, `ProgressBar`, `Selection`, and `TextInput` widgets, adding important test coverage and testing instructions for Windows. They also improved the coverage for text input and added factory methods for App creation. These changes suggest a focus on improving the functionality and reliability of the Toga cross-platform GUI toolkit.
gui-toolkitpythonlinuxgui
cc-archive/cccatalog-frontend
May 2020 - Apr 2021
[PROJECT TRANSFERRED] CC Search is a search tool for CC-licensed and public domain content across the internet.
Role in this project:Front-end Developer
Front-end DeveloperContributions:3 reviews, 28 commits, 7 PRs in 10 months
Contributions summary:Olga primarily contributed to the front-end of the `cccatalog-frontend` repository, focusing on Vue.js component modifications. Their commits involved changes to existing components, such as `ContentReportForm.vue` and `PhotoDetails.vue`, indicating work on the user interface and user experience elements. Furthermore, the user extracted related images handling from the search store, demonstrating refactoring and component logic improvement within the Vuex store structure. The user also addressed linting errors and resolved merge conflicts, indicating a commitment to code quality.
licensedpublic-domainsearch-tooldiscontinuedsearch-engine
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