Ege Paksoy - AI Research Collaborator

Q: Where is Ege based?

Ege is based in Berlin, Germany .

Q: What languages does Ege speak?

Ege speaks the following languages: Turkish (Native), English (Advanced), German (Intermediate) .

Q: How many years of experience does Ege have?

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.

Q: What is Ege's latest experience?

Ege's most recent position is AI Research Collaborator at NPO .

Q: What companies has Ege worked for in recent years?

In recent years, Ege has worked for NPO , Green Unified Scenarios , and Zuse Institute Berlin .

Q: Which industries is Ege most experienced in?

Ege is most experienced in industries like Healthcare , Media, Entertainment and Publishing , and Government and Public Administration . Ege also has some experience in Utility Services .

Q: Which business areas is Ege most experienced in?

Ege is most experienced in business areas like Research and Development (R&D) and Information Technology (IT) .

Q: What is Ege's education?

Ege holds a Master in Mathematics from Freie Universität Berlin and a Bachelor in Mathematics from Istanbul Bilgi University .

Recommended expert

Berlin, Germany

Experience

Sep 2024 - Oct 2025

1 year 2 months

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.

Jan 2024 - Jun 2024

6 months

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.

Apr 2021 - Dec 2022

1 year 9 months

Berlin, Germany

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.

Industries Experience

See where this freelancer has spent most of their professional time. Longer bars indicate deeper hands-on experience, while shorter ones reflect targeted or project-based work.

Experienced in Healthcare (1.5 years), Media and Entertainment (1 year), Government and Administration (0.5 years), and Utilities (0.5 years).

Healthcare

Media and Entertainment

Government and Administration

Utilities

Business Areas Experience

The graph below provides a cumulative view of the freelancer's experience across multiple business areas, calculated from completed and active engagements. It highlights the areas where the freelancer has most frequently contributed to planning, execution, and delivery of business outcomes.

Experienced in Information Technology (3 years) and Research and Development (3 years).

Information Technology

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

Turkish

Native

English

Advanced

German

Intermediate

Education

Oct 2021 - Dec 2023

Freie Universität Berlin

Master in Mathematics · Mathematics · Berlin, Germany

Oct 2014 - Jun 2018

Istanbul Bilgi University

Bachelor in Mathematics · Mathematics · İstanbul, Turkey

Profile

Created

November 2025

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Frequently asked questions

Do you have questions? Here you can find further information.

Where is Ege based?

Ege is based in Berlin, Germany.

What languages does Ege speak?

Ege speaks the following languages: Turkish (Native), English (Advanced), German (Intermediate).

How many years of experience does Ege have?

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.

What roles would Ege be best suited for?

Based on recent experience, Ege would be well-suited for roles such as: AI Research Collaborator, Data Scientist (Intern), Deep Learning Researcher.

What is Ege's latest experience?

Ege's most recent position is AI Research Collaborator at NPO.

What companies has Ege worked for in recent years?

In recent years, Ege has worked for NPO, Green Unified Scenarios, and Zuse Institute Berlin.

Which industries is Ege most experienced in?

Ege is most experienced in industries like Healthcare, Media, Entertainment and Publishing, and Government and Public Administration. Ege also has some experience in Utility Services.