Resume

MOVE AI/ML Fellow

Handshake

Data Scientist (Remote)

Market Calculus

Designed an AI-driven graph-based trade forecasting system integrating network analysis, time-series forecasting, and anomaly detection, contributing to a project that received R&D funding.

• PostgreSQL, Python, Jira, Bitbucket, Git

Teaching Assistant

Bogazici University

Evaluated students' internship processes, including placement, progress tracking, and performance assessments.

PhD in Computer Engineering

Bogazici University

• Thesis: Enhancing lightweight models for efficient sensor-based human activity recognition | GPA: 4.00/4.00
• Developed TensorFlow CNN/LSTM models for time-series sensor classification, optimized for low memory and real-time inference
• Applied model compression (pruning, quantization, attention, knowledge distillation), achieving 3–4× resource efficiency gains
• Benchmarked models on four public datasets, demonstrating strong generalization and robustness
• Courses: Computer Vision, Deep Learning, Pattern Recognition, Biometrics, Natural Language Processing, Advanced Requirement Engineering, Computational Techniques for Social Sciences

MS in Computer Engineering

Galatasaray University

• Thesis: Smoking recognition using smartwatch sensors | GPA: 3.78/4.00
• Designed an AI-based smoking detection system using smartwatch sensor data
• Reduced energy consumption by 33% and CPU usage by 20%, enabling real-world feasibility
• Developed an adaptive sensor fusion technique, achieving up to 96% recognition success
• Courses: Human-Computer Interface, Medical Informatics, Natural Language Processing and Information Retrieval, Data Warehouses and Data Mining, Complex Network Analysis

BS in Computer Engineering

Galatasaray University

• GPA: 3.13/4.00

BS in Electrical Engineering and Industrial Computing (GEII, IUT de Troyes)

Université de Reims Champagne-Ardenne

• I transferred to Galatasaray University in Turkey after successfully completing my second year. | GPA: 15.38/20.00