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pneumonia_app
September 16, 2025 – September 16, 2025
In this project, a deep learning model was developed to detect pneumonia from chest X-ray images as part of a computer vision study. Labeled X-ray datasets were utilized for image classification with a CNN-based architecture. To improve model accuracy, data augmentation, early stopping, and validation techniques were applied.
View ProjectFactory-Automation-Project
April 28, 2025 – April 28, 2025
Factory-Automation-Project — GitHub repository
View Projectautomatic_insurance1
April 27, 2025 – April 27, 2025
automatic_insurance1 — GitHub repository
View ProjectBasic-Anemometer-Application
January 21, 2025 – January 21, 2025
Eskişehir Osmangazi University Electrical and Electronics Engineering 2024 Graduation Project
View ProjectCultural Fit Analysis
The candidate's projects are primarily personal and academic, showing a foundational interest in various technical areas. However, the projects lack direct alignment with typical backend engineering roles, focusing more on embedded systems, computer vision, and general programming. The diversity of projects (deep learning, factory automation, basic applications) suggests a broad interest but also a potential lack of deep specialization in backend technologies. The absence of professional experience or team-based projects makes it difficult to assess collaboration or cultural integration potential.
Soft Skills & Operational Fit
Insufficient data to assess soft skills and operational fit. No psychometric test results or interview feedback provided.