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Co-Founder & COO @ Pixldata | Enterprise Data Labeling Platform & Services | Production-Ready Labeled Data for AI | Actively Raising Seed
With a strong background in library and information science, complemented by a master’s degree in Management Information Systems from Ufuk Üniversitesi, I have cultivated expertise in data labeling operations and AI data quality through hands-on roles at organizations like Ango AI. My experience spans designing annotation workflows, ensuring error reduction, and managing enterprise-level data projects. Currently, I lead daily operations as a small business leader at Pixldata. Pixldata is a cutting-edge scalable platform that empowers AI teams to generate high-quality labeled data efficiently. Combining advanced annotation tools with optional managed services, the company specializes in areas such as medical segmentation, semantic segmentation, LIDAR processing, and machine learning pipelines. With enterprise-ready infrastructure and AI-assisted workflows at its core, Pixldata stands out by delivering reliable solutions tailored for accuracy-driven industries. Empower your AI models—contact me to explore how we can elevate your projects with world-class data labeling solutions!
Ufuk Üniversitesi
Yüksek Lisans (Master), Yönetim Bilişim Sistemleri
February 1, 2022 – Present
Ankara University
Lisans Derecesi, Kütüphane ve Bilgi Bilimi
January 1, 2013 – January 1, 2017
pixldata
Co-Founder & COO
July 1, 2023 – Present
Ankara, Türkiye
Ango AI
Data Labeling Master
April 1, 2021 – June 1, 2023
Türkiye
Arsivist&Dizayn
Catalog Librarian
July 1, 2018 – October 1, 2020
Ankara, Türkiye
Milli Kütüphane
Catalog Librarian
May 1, 2017 – December 1, 2017
Ankara, Türkiye
TODAİE
Archives Assistant
July 1, 2016 – August 1, 2016
Ankara, Türkiye
Ankara Üniversitesi
Librarian
January 1, 2016 – June 1, 2016
Ankara, Türkiye
Ankara Üniversitesi
Librarian
January 1, 2014 – June 1, 2014
Ankara, Türkiye
Cultural Fit Analysis
The candidate's recent experience as a Co-Founder & COO aligns well with the entrepreneurial spirit often sought in a Co-Founder role. Their background in data labeling operations suggests a practical, hands-on approach to problem-solving. However, the overall breadth of technical skills beyond process optimization and basic Python is limited, which might impact cultural fit in a highly technical co-founder role requiring diverse engineering contributions. The transition from a library science background to AI operations demonstrates adaptability and a willingness to learn new domains.
Soft Skills & Operational Fit
The candidate's experience as a Co-Founder & COO at pixldata indicates strong leadership, operational management, and problem-solving skills. Their role involved owning delivery, designing workflows, and overseeing customer onboarding, suggesting a good fit for operational leadership and strategic execution. The previous role as Data Labeling Master further solidifies their understanding of operational processes in AI data production.