I am Muhammet Öztürk, a software engineer and artificial intelligence developer focused on building practical, production-ready systems. My work spans computer vision, machine learning, real-time media pipelines, embedded hardware, and developer tooling.
I design and implement AI systems end to end:
- Data capture and preprocessing
- Model integration and optimization
- Real-time inference pipelines
- UI and interaction layers (Python + JS)
- Deployment on cloud, local Linux systems or embedded devices
I work extensively with Python (PyTorch, TensorFlow), JavaScript, Jupyter/Colab, Debian, Raspberry Pi, and hardware-accelerated inference on microcontrollers and Jetson-class devices.
- Python, JavaScript, TypeScript
- PyTorch, TensorFlow, OpenCV
- Data processing pipelines
- Reusable module & package design
- End-to-end system architecture
- Computer vision
- Multimodal models
- Model optimization & quantization
- Real-time inference pipelines
- Edge deployment (Jetson, Raspberry Pi, microcontrollers)
- Linux (Debian-based systems)
- Jupyter Notebook, Google Colab
- Docker & container-based workflows
- FastAPI, WebSocket-based communication
- Hardware integration (camera/mic, sensors)
- Clear technical writing
- Step-by-step AI guides
- Hands-on education for beginners and intermediate learners
- Development of practical examples, demos, and tooling
My engineering style prioritizes:
- Clear abstractions
- Maintainable structure
- Fast iteration
- Reusable modules
- Verified, measurable results
I build tools, libraries, and educational material that make AI systems easier to understand and deploy. I also mentor young developers and help them build a solid foundation in modern machine learning.
I write technical articles, tutorials, and deep-dives on my blog:
https://muhammetozturk.github.io
The blog includes content on Python, SQL, machine learning, computer vision, OOP, hardware-AI integration, and practical engineering patterns.
- Real-time multimodal AI (vision + audio)
- Model optimization and deployment on edge devices
- Developer tools for Colab, Jupyter, and web-based AI interactions
- Educational content for the next generation of engineers
My goal is to bridge research and production: prototype fast, build reliably, deploy effectively, and teach clearly.