AI Engineering student focused on practical, deployable machine learning—especially computer vision, multimodal systems, and signal-based anomaly detection.
- Based in: Ankara, Turkey
- Currently: B.Sc. Artificial Intelligence Engineering @ TOBB University of Economics and Technology (expected 05/2026)
- Interests: Video restoration/stabilization, lightweight ML for mobile/edge, robust evaluation & experimentation
- Research Intern (TOBB ETÜ, 2025): deep learning–based video stabilization; implemented and evaluated models including GaVS, Real-ESRGAN, ProPainter, E2FGVI, DSTNet-Plus using Python/PyTorch on Linux (Ubuntu).
- R&D Intern (SAMM Teknoloji, 2023–2024): CNN-based anomaly detection for fiber optic distributed acoustic sensing (FOTAS); built a reproducible internal testing/evaluation tool; contributed to a web-based fiber optic cable design app.
- AI-Powered Deepfake Detection in Biometric Systems (Sep 2025) — DOI:
10.1109/asyu67174.2025.11208454
- ML/AI: PyTorch, TensorFlow, CNNs, Computer Vision (OpenCV), Multimodal Learning, Signal Processing
- Programming: Python, C/C++, Java, JavaScript/TypeScript, SQL
- Tools: Linux, Git, Docker
- Web (when needed): React, Node.js
- Email:
mehmetaltintas.tr@gmail.com - LinkedIn: linkedin.com/in/mehmet-altintas
