About Me
As a Computer Science student at Ozyegin University, I'm passionate about developing innovative software solutions and pushing the boundaries of machine learning and deep learning applications.
My professional experience includes working on mission-critical software development at GE Aerospace, advanced avionics software design at Turkish Aerospace, and conducting performance optimization research at my university.
With a focus on building efficient, high-performance systems, I combine strong technical skills with a commitment to innovation. I'm particularly interested in the intersection of machine learning, computer vision, and real-world applications in aerospace and computational biology.
Education
Bachelor of Science in Computer Science
Ozyegin University • September 2020 – June 2025 (Expected)
- Maintaining an excellent academic record with a GPA of 3.76/4.00
- Focusing on artificial intelligence, machine learning, and software engineering
- Participating in undergraduate research programs and academic competitions
- Developing advanced projects in computer vision and deep learning
Experience
Software Engineer Intern
GE Aerospace • August 2024 – Present
- Spearheading the development of advanced AI features for GE's Flow Simulator application, implementing LSTM-based prediction models using TensorFlow
- Maintaining and optimizing mission-critical applications within the Advanced Design Tools (ADT) team
- Ensuring robust performance and reliability through systematic bug resolution and codebase improvements
- Collaborating cross-functionally to identify and resolve software issues across multiple projects
Avionics Software Design Engineer Intern
Turkish Aerospace • June 2024 – July 2024
- Contributed to the TF-X (MMU) National Combat Aircraft project, developing advanced 2D and 3D radar simulation systems
- Utilized C# and .NET framework with specialized implementation of Helix Toolkit for high-fidelity 3D graphics rendering
- Engineered user interfaces using Windows Forms and WPF for fifth-generation fighter aircraft simulation
- Conducted comprehensive testing and validation protocols aligned with aerospace industry standards
Undergraduate Research Assistant
Ozyegin University • May 2023 – September 2023
- Conducted in-depth analysis of Linux I/O schedulers and extended this work using the Storage Performance Development Kit (SPDK)
- Designed and executed performance tests by adjusting various hyperparameters, resulting in a 40% improvement in data throughput and reduced latency
- Worked under the supervision of Asst. Prof. Dr. Ismail Ari
- Developed comprehensive understanding of I/O behavior and performance metrics
Research Interests
Bioinformatics
Developing hybrid transformer-CNN architectures for improved prediction accuracy in computational biology and mRNA degradation analysis.
Computer Vision
Creating advanced real-time vision systems with CNN-based hand gesture recognition and adaptive image processing techniques.
Low-Latency Systems
Engineering streaming platforms with sub-2-second latency through optimization of encoding, transmission, and playback processes.
I/O & System Performance
Analyzing and optimizing system-level performance through Linux I/O schedulers and advanced storage frameworks for improved throughput.
Awards & Certificates
IEEEXtreme 18.0 Programming Competition
IEEE • 2024
3rd Place National Ranking in this prestigious 24-hour global programming competition
Google Developers Machine Learning Bootcamp
Google • 2023
Completed intensive training in advanced machine learning techniques and methodologies
TensorFlow Developer Certificate
Google • 2023
Professional certification demonstrating proficiency in building TensorFlow models