Ege (Sirin) P.-AI Research Collaborator
Check rate
Experience
AI Research Collaborator
NPO
- Contributed to the Karakutu project, developing AI-driven tools to analyze news in Turkey.
- Assisted in web scraping, applied NER for entity extraction, and built interactive filtering interfaces (Vue.js, Plotly.js) for entity and location based search.
- Performed sentiment and content-shift analysis to detect editorial influence in modified news articles.
Data Scientist (Intern)
Green Unified Scenarios
- Built digital twin models for urban green spaces, forecasting CO2 emissions, water use, and air quality improvements.
- Utilized AWS S3 for large-scale data retrieval and storage, and developed geospatial analysis models using Python, GeoPandas, and Shapely.
Deep Learning Researcher
Zuse Institute Berlin
- Implemented and evaluated U-Net and Deep U-Net architectures for 3D implant-treatment segmentation on clinical data from Charité, establishing baseline performance for deterministic models.
- Designed and developed a novel probabilistic segmentation framework integrating Gaussian Processes with deep networks to produce high-resolution, uncertainty-aware predictions.
- Built end-to-end training and validation pipelines and conducted comparative benchmarking against Probabilistic U-Net and PhiSeg.
- Achieved state-of-the-art quantitative performance while overcoming prior models’ resolution limitations, improving segmentation reliability in anatomically ambiguous regions.
Industry experience
See where this freelancer has spent most of their professional time.
Experienced in Healthcare, Media and Entertainment, Government and Administration, and Utilities.
Business area experience
See which departments and functions this freelancer has contributed to most.
Experienced in Information Technology and Research and Development.
Summary
Machine Learning Research Engineer and AI professional with expertise in probabilistic modeling and deep learning. Skilled in developing scalable Artificial Intelligence models for computer vision, bridging research innovation with practical deployment.
Skills
- Programming: Python, Sql, Bash, Latex (Basic Understanding Of C++, Haskell)
- Machine Learning & Deep Learning: Pytorch, Tensorflow, Scikit-Learn, Transformers (Bert), Hugging Face, Tensorboard
- Computer Vision & Medical Imaging: Opencv, Nibabel, 3d Slicer (Basic)
- Data Analysis & Visualization: Numpy, Pandas, Geopandas, Shapely, Matplotlib, Plotly.Js
- Development & Web Tools: Fastapi, Docker, Git, Postgresql, Aws S3, Linux, Vue.Js
Languages
Education
Freie Universität Berlin
Master in Mathematics · Mathematics · Berlin, Germany
Istanbul Bilgi University
Bachelor in Mathematics · Mathematics · İstanbul, Turkey
Statistics
Experience
Global experience
Expertise
Qualifications
Profile
Frequently asked questions
Have questions? Find more information here.
Ege is based in Berlin, Germany.
Ege speaks the following languages: Turkish (Native), English (Advanced), German (Intermediate).
Ege has at least 3 years of experience. During this time, Ege has worked in at least 3 different roles and for 3 different companies. The average length of individual experience is 1 year and 1 month. Note that Ege may not have shared all experience and actually has more experience.
Based on recent experience, Ege would be well-suited for roles such as: AI Research Collaborator, Data Scientist (Intern), Deep Learning Researcher.
Ege's most recent position is AI Research Collaborator at NPO.
In recent years, Ege has worked for NPO, Green Unified Scenarios, and Zuse Institute Berlin.
Ege is most experienced in industries like Healthcare, Media and Entertainment, and Government and Administration. Ege also has some experience in Utilities.
Ege is most experienced in business areas like Research and Development and Information Technology.
Ege holds a Master in Mathematics from Freie Universität Berlin and a Bachelor in Mathematics from Istanbul Bilgi University.
The availability of Ege needs to be confirmed.
Daily rate distribution
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Average rates for similar positions
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The average daily rate is the mean of all daily rates from recent contracts of comparable freelancers on our platform.
The median daily rate is the middle value of all daily rates — half of comparable freelancers charge less, half charge more. Unlike the average, it is barely affected by outliers.
Calculated based on our freelancers’ daily rates as of 7 Sep 2026. Actual rates may vary depending on seniority level, experience, skill specialization, project complexity, and engagement length.
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