Hi, I'm Tuğçe 👋🏻
I'm a Computer Engineering student graduating in July 2026, 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 (graduating July 2026)
- 💼 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
- Specialized in backend development using C++ and the Qt framework to deliver robust software solutions.
- Focused on multithreading and system optimization to ensure efficient, low-latency performance.
- Designed scalable architectures and wrote thread-safe code for high-performance applications.
- Developed cross-platform desktop applications using the Qt framework.
- Designed and implemented automated unit and integration tests using GoogleTest.
Oct 2025 - Present
R&D Intern
- Designed a PyTorch-based denoising autoencoder to enhance segmentation quality of cardiac 3D-CTA images.
- Developed post-processing algorithms to reduce surface artifacts and vessel misconnections in 3D U-Net outputs.
- Built end-to-end training pipelines including synthetic dataset generation, preprocessing, augmentation, and hyperparameter optimization.
Jul 2025 - Sep 2025
Student Intern
- Developed frontend (GUI) and backend components using the Qt framework.
- Designed and implemented intuitive and responsive user interfaces.
- Performed comprehensive system testing to ensure stability and reliability.
- Contributed to the enhancement and optimization of system features and functionalities.
Feb 2025 - Jul 2025
Research Intern
- Contributed to the DAIsy and ADMIRED project (TÜBİTAK STAR 2247-C), developing deep learning models (CNN, LSTM, CLSTM) for audio-based mental health classification using TensorFlow.
- Designed audio feature extraction pipelines (MFCC, mel-spectrogram, spectrogram) and performed dataset augmentation to improve model robustness.
- Built a Node.js-based data collection platform and integrated trained models into web applications for real-world testing.
Mar 2024 - Jul 2024
Founder
- Founded and developed a web-based disaster coordination platform following the Kahramanmaraş earthquake.
- Assisted 160+ earthquake victims by connecting requests with volunteers and resource providers.
- Selected for the HelpCube Incubation Program under Teknopark Istanbul and successfully completed the program.
Feb 2023 - Feb 2024
AI Research & Development Intern
- Developed TensorFlow-based deep learning models (CNN, ResNet-18/50) for speaker identification and age/gender prediction from audio signals.
- Engineered audio feature extraction pipelines (MFCC, mel-spectrogram, spectrogram) to enhance model performance.
- Applied data preprocessing and augmentation techniques to improve classification robustness.
Jul 2022 - Sep 2022
Projects
Some of the noteworthy projects I have built:
Location-Based AR Detective Game
A cross-platform AR detective game with persistent visual anchors enabling multi-user, real-world synchronized object placement. Combines GPS distance gating with Immersal visual localization for accurate, latency-optimized clue triggering, backed by a scalable Firebase backend with role-based access control.
Unity
C#
AR Foundation
Immersal VPS
Firebase
Android
iOS
Kalor.AI
An AI-powered mobile health app that analyzes user photos to estimate age, gender, and BMI, tracks daily calorie intake from food photos, and generates personalized meal recommendations using an on-device TensorFlow Lite model and the OpenAI API.
Flutter
Dart
TensorFlow Lite
OpenCV
OpenAI API
Firebase
ReqGPT
An AI-powered requirements engineering tool that turns a project idea into functional and non-functional requirements, EARS-style use cases with Mermaid UML diagrams, a traceability matrix, and a full SRS document. Available cross-platform on web, Android, iOS, macOS, Linux, and Windows.
Flutter
Dart
OpenAI API
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!