CV

Experience

Gebze Technical University – Bioengineering (2023 – cont.)
Research & Academic Interests: Neuroscience, Neurochemistry, Neurotechnology, Biomedical Sciences, Biophotonics

Skills

Programming & Data: Python (NumPy, pandas, matplotlib), CNN
Experimental: Basic molecular biology and biochemistry laboratory techniques
Analytical: Scientific writing, data visualization
Languages: English (Intermediate–Upper), Turkish (Native), German (Beginner)

Projects & Presentations

Basic CNN Model for Classification of Brain Tumor MRI Scans

Description: Multiclass classification of brain tumor MRI scans into four categories with baseline CNN model and a transfer learning approach using MobileNetV2. The workflow includes data preprocessing, model training, evaluation (accuracy, loss, and confusion matrix), and visual explainability using Grad-CAM.

Light-Guided GABAergic Modulation Using UPCNs

Description: Individual contribution to a group-based bioengineering course project. This project presents a theoretical model based on literature and conceptual integration in the field of biophotonics and neurotechnology.
Course: Fundamentals of Bioengineering – BENG101
Keywords: Non-invasive neuromodulation, collimated NIR light, olfactory nerve pathway, epilepsy control

Courses & Certifications

“Introduction To Deep Learning” – AI Business School (2025)
“Akbank Introduction to Deep Learning Project Bootcamp” – AI Business School (2025)
“EEG/ERP Analysis with Python and MNE” – Udemy (in progress)

Activities

• Writer, Student Journal of GTU BIOS Club (2025 - cont.)
Popular science writing in Neuropsychology
• Event Organizer, GTU CytoGate Club (2025 - cont.)