Hi, I'm Tuğçe 👋🏻
I'm a final-year Computer Engineering student focused on building intelligent and high performance software systems. My work spans artificial intelligence, backend development, augmented reality, and mobile applications. I'm naturally curious and enjoy experimenting with new technologies and ideas, something you'll probably notice from the projects on my GitHub and portfolio.
Istanbul, Turkiye
Available for new projects
About me
Curious about me? Here you have it:
I'm currently working as a Candidate Researcher at TÜBİTAK BİLGEM, where I develop cross-platform desktop applications using C++ and Qt. My work focuses on building reliable and high-performance systems, often involving multithreaded architectures and performance-oriented development.
Throughout my Computer Engineering studies, I've actively gained hands-on experience through internships and research projects in different areas of software development. These experiences allowed me to explore fields such as backend development, AI research, mobile applications, and augmented reality while working with diverse technologies and teams.
I enjoy learning new tools and technologies and applying them in practical projects. Working on different types of problems, from research prototypes to real-world applications, has helped me build a broad perspective on software development.
Outside of coding, I enjoy working on side projects, learning new things, playing the piano, and swimming.
Finally, some quick bits about me.
- 🎓 B.Sc. Computer Engineering — Gebze Technical University
- 💼 Candidate Researcher — TÜBİTAK BİLGEM
- 🧠 Interested in AI, systems programming, and AR technologies
- 🎹 Piano player & long-distance swimmer
If you'd like to collaborate, discuss ideas, or just say hello, feel free to reach out!
Experience
Here is a quick summary of my most recent experiences:
Candidate Researcher
- Developing high-performance cross-platform desktop applications using C++ and Qt.
- Working on multithreaded architectures and system optimization.
- Designing and implementing automated unit and integration tests using GoogleTest.
Oct 2025 - Present
R&D Intern
- Designed a PyTorch-based denoising autoencoder for improving segmentation quality of cardiac 3D-CTA images.
- Developed post-processing algorithms to reduce artifacts in 3D U-Net outputs.
- Built end-to-end training pipelines including dataset generation, preprocessing, and augmentation.
Jul 2025 - Sep 2025
Student Intern
- Developed frontend (Qt GUI) and backend components for desktop applications.
- Contributed to system testing, feature development, and performance improvements.
Feb 2025 - Jul 2025
Research Intern
- Developed deep learning models (CNN, LSTM, CLSTM) for audio-based mental health classification.
- Engineered audio feature extraction pipelines using MFCC, mel-spectrogram, and spectrogram.
- Built a Node.js-based platform for collecting audio data and integrating trained models into web applications.
Mar 2024 - Jul 2024
AI Research & Development Intern
- Developed TensorFlow-based deep learning models for speaker identification and age/gender prediction.
- Designed audio feature extraction pipelines using MFCC and spectrogram features.
- Applied preprocessing and augmentation techniques to improve model robustness.
Jul 2022 - Sep 2022
Projects
Some of the noteworthy projects I have built:
Get in touch
What’s next? Feel free to reach out to me if you are looking for a developer, have a query, or simply want to connect.
tugcepolat44@icloud.com
+90 5468491889
You may also find me on these platforms!