Hakan Erol
Resepsiyonist at May Thermal
Sandıklı, Afyon, Türkiye Turkey
Summary
🤩
Rockstar🎓
Top SchoolHakan Erol is a technically curious IT professional with 7 years of hands-on experience spanning reception operations and practical software/ hardware support. Trained in Web Programming and Computer Programming and currently studying Management Information Systems, he combines front-end skills (HTML/CSS, Bootstrap) and Python with experience on Linux/Windows and SQLite. On GitHub he contributed back-end improvements to Label Studio—adding an updated_by annotation field and handling migrations—showing attention to data integrity and iterative problem solving. At May Thermal he pairs customer-facing reception duties with reservation and cash reporting tools, demonstrating reliability, communication skills and process ownership. Known for quick, results-oriented execution, he enjoys troubleshooting and adapting to new technologies to bridge operational needs with technical solutions.
7 years of coding experience
Ön lisans, Bilgisayar Programlama, Ön lisans, Bilgisayar Programlama at Afyon Kocatepe Üniversitesi / Sandıklı Meslek YüksekokuluLise, Web Programlama, Lise, Web Programlama at Sandikli Mesleki Ve Teknik Andolu LisesiLisans Derecesi, Yönetim Bilişim Sistemleri, Açık öğretim, Lisans Derecesi, Yönetim Bilişim Sistemleri, Açık öğretim at Anadolu Üniversitesi
Github Skills (14)
database-migrations10
database-migration10
api10
python10
apidoc10
django10
pytest9
postgresql9
data-modeling9
annotation-processing8
annotations8
annotate8
data-labeling7
mlops6
Programming languages (5)
Github contributions (5)
HumanSignal/label-studio
Nov 2022 - Dec 2022
Label Studio is a multi-type data labeling and annotation tool with standardized output format
Role in this project:
Back-end Developer
Back-end DeveloperContributions:159 reviews, 17 commits, 76 PRs in 1 month
Contributions summary:Hakan primarily contributed to the back-end aspects of the Label Studio project, specifically focusing on adding and refining the `updated_by` field for annotations. Their work included modifying the data models, API endpoints, and tests to support the new functionality. They also addressed migration issues and implemented a command-line interface (CLI) command to fill the `updated_by` field for existing annotations. Furthermore, the user was involved in reverting changes and re-implementing the feature, indicating iterations and problem-solving.
semantic-segmentationtext-annotationannotation-toolimage-classificationdata-labeling
HumanSignal/litellm
Jan 2025 - Mar 2025
Python SDK, Proxy Server (LLM Gateway) to call 100+ LLM APIs in OpenAI format - [Bedrock, Azure, OpenAI, VertexAI, Cohere, Anthropic, Sagemaker, HuggingFace, Replicate, Groq]
Contributions:5 pushes in 1 month
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