Hi, I'm Tuğçe 👋🏻

Software Engineer

• Develop C++ backend and frontend components for UAV payload pod systems and Ground Control Station applications, including operator-facing workflows and system integration features.
• Develop TCP/UDP socket communication features and contribute to Qt-based application development, inter-module communication, and maintainable software architecture in a defense R&D environment.

C++ Software Engineer (Working Student)

• Developed operator-facing desktop applications in C++17/20 and Qt on Windows, contributing to both GUI/backend components and software architecture.
• Implemented multithreaded components and containerized services with Docker.
• Wrote unit and integration tests with GoogleTest, performed debugging, and enforced code-quality standards with SonarQube.
• Transitioned into a Software Engineer role after graduation, continuing on the same TÜBİTAK BİLGEM engineering team.

R&D Intern – Medical Imaging AI

• Owned a full ML pipeline end-to-end within an international cross-functional team: synthetic dataset generation, preprocessing, augmentation, model training (PyTorch), hyperparameter optimisation, and offline evaluation.
• Designed a denoising autoencoder to post-process 3D U-Net segmentation outputs for cardiac 3D-CTA images; developed post-processing algorithms to reduce surface artifacts and vessel misconnections.
• Adapted quickly to an unfamiliar codebase and domain; delivered results in a medical device development context within the internship window.

Software Engineering Intern

• Developed Qt GUI and backend components; performed system testing, debugging, and error analysis. Selected to continue as a C++ Software Engineer Working Student following the internship.

Research Intern – AI Applications

• Developed CNN, LSTM, and CLSTM deep learning models for audio-based mental health classification using TensorFlow; designed MFCC, mel-spectrogram, and spectrogram feature extraction pipelines with latency constraints.
• Built and shipped a Node.js data collection platform from backend to integrated deployment independently; integrated trained models into web applications for real-world testing.
• Applied systematic data augmentation and preprocessing strategies to improve model robustness and generalisation across diverse audio datasets.

AI R&D Intern

• Developed CNN and ResNet-18/50 models for speaker identification and age/gender prediction from audio signals; engineered MFCC and spectrogram feature extraction pipelines.

Engineering Intern

• Completed Engineering Development Program (MGP) at Turkey's leading aerospace and defence manufacturer; received certified CATIA training and designed 3D mechanical parts.
• Gained foundational experience in aerospace engineering design processes and cross-disciplinary collaboration within a defence and aviation environment.