Osman Tursun
Advance Queensland Research Fellow
Queensland, Australia
Summary
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Senior🎓
Top SchoolOsman Tursun is an applied computer vision researcher and Advance Queensland Research Fellow with over a decade of experience bridging academia and industry to deliver production-ready machine vision systems. He holds a PhD in Computer Science and has built deployable deep-learning solutions for mining fragmentation analysis (backed by a $240k fellowship and partnership with Orica Digital Solutions) as well as prototype oversize-detection software during an Orica internship. At QUT he combines research and teaching in machine learning and image processing, and his open-source localization work helped extend Mozilla’s high-profile Common Voice project to Uyghur speakers. Known for shipping practical, fast-turnaround prototypes that translate research into commercial impact, he pairs rigorous academic training with hands-on engineering and a pragmatic, results-driven mindset.
12 years of coding experience
7 years of employment as a software developer
Doctor of Philosophy - PhD, Computer Science, Doctor of Philosophy - PhD, Computer Science at QUT (Queensland University of Technology)Doctor of Philosophy (Ph.D.), Computer Engineering, Doctor of Philosophy (Ph.D.), Computer Engineering at Middle East Technical University
English, Chinese, Turkish, uyghur
Stackoverflow
1reputation
0reached
0answers
0questions
Github Skills (4)
localization10
translation10
crowdsourcing9
open-data8
Programming languages (10)
Github contributions (5)
common-voice/common-voice
Mar 2021 - Apr 2021
Common Voice is part of Mozilla's initiative to help teach machines how real people speak.
Role in this project:
Localization / Internationalization Specialist
Localization / Internationalization SpecialistContributions:8 commits, 1 PR, 5 comments in 7 days
Contributions summary:Osman primarily contributed to the localization efforts for the Common Voice project. Their commits focused on updating and maintaining the Uyghur (ug) translations within the project's localization files. The contributions involved modifying various text strings and UI elements to ensure accurate and comprehensive language support, thus helping expand the project's accessibility to Uyghur speakers. The user's work directly enhanced the multilingual capabilities of the platform.
internet-freedommachinesinitiativeopen-datavoice
neouyghur/papers-and-datasets-for-logo-trademark
Dec 2018 - Jan 2019
Contributions:11 commits, 9 pushes, 1 branch in 1 month
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