I’m Ari Cilingiroglu, an AI & data science professional with hands-on experience building medical imaging models and driving end-to-end ML projects. Recently, I independently developed a model to segment ovarian follicles on MRI, leveraging CNNs, U-Net, and YOLO while handling medical imaging constraints and clinical needs. I enjoy turning complex data problems into practical, high-impact solutions that clinicians can trust. I’m passionate about collaborating across teams to translate research into real-world healthcare applications, especially in fertility diagnostics and medical imaging. I’m open to opportunities in France and eager to contribute to innovative projects that combine machine learning, software engineering, and domain expertise to improve patient outcomes.

Ari Cilingiroglu

I’m Ari Cilingiroglu, an AI & data science professional with hands-on experience building medical imaging models and driving end-to-end ML projects. Recently, I independently developed a model to segment ovarian follicles on MRI, leveraging CNNs, U-Net, and YOLO while handling medical imaging constraints and clinical needs. I enjoy turning complex data problems into practical, high-impact solutions that clinicians can trust. I’m passionate about collaborating across teams to translate research into real-world healthcare applications, especially in fertility diagnostics and medical imaging. I’m open to opportunities in France and eager to contribute to innovative projects that combine machine learning, software engineering, and domain expertise to improve patient outcomes.

Available to hire

I’m Ari Cilingiroglu, an AI & data science professional with hands-on experience building medical imaging models and driving end-to-end ML projects. Recently, I independently developed a model to segment ovarian follicles on MRI, leveraging CNNs, U-Net, and YOLO while handling medical imaging constraints and clinical needs. I enjoy turning complex data problems into practical, high-impact solutions that clinicians can trust.

I’m passionate about collaborating across teams to translate research into real-world healthcare applications, especially in fertility diagnostics and medical imaging. I’m open to opportunities in France and eager to contribute to innovative projects that combine machine learning, software engineering, and domain expertise to improve patient outcomes.

See more

Experience Level

Expert
Expert
Expert
Expert
Expert
Expert
Expert
Expert
Expert
Intermediate
Intermediate
Intermediate
Intermediate
See more

Language

French
Fluent
English
Advanced
Armenian
Fluent
Turkish
Fluent

Work Experience

Machine Learning Intern at Siemens Healthineers
August 1, 2024 - August 1, 2024
Independently developed a model for segmenting ovarian follicles on MRI images; applied CNN, U-Net, and YOLO tailored to medical imaging constraints; processed large MRI datasets with normalization and augmentation; experimented with neural network architectures to optimize segmentation accuracy; adapted methods to clinical limitations and business needs; contributed to a real-world project aimed at improving fertility diagnostics.
Observation Internship at St. George’s Austrian Hospital
December 31, 2014 - December 31, 2014
Observed surgical operations, equipment management and laboratory procedures; gained initial exposure to hospital protocols, healthcare service organization and medical hygiene standards.

Education

Master’s Degree in Computer Science at University of Montpellier
January 11, 2030 - November 13, 2025
Bachelor’s Degree in Computer Science at University of Montpellier
January 1, 2019 - January 1, 2022

Qualifications

CCNA-1
January 11, 2030 - November 13, 2025
CCNA-2 (Cisco)
January 11, 2030 - November 13, 2025
Python, C, C++ (Udemy)
January 11, 2030 - November 13, 2025
C++/ Data Structures (HackerRank)
January 11, 2030 - November 13, 2025
MLOps (ongoing)
January 11, 2030 - November 13, 2025
AWS (ongoing)
January 11, 2030 - November 13, 2025

Industry Experience

Healthcare, Software & Internet, Education, Professional Services, Media & Entertainment

Experience Level

Expert
Expert
Expert
Expert
Expert
Expert
Expert
Expert
Expert
Intermediate
Intermediate
Intermediate
Intermediate
See more