"Until you make the unconscious conscious, it will direct your life and you will call it fate." — Carl Jung
AI & Systems Engineer IT Specialist | Data Scientist & AI Engineer | Linux & System Automation Specialist
I build production-ready AI systems by combining machine learning, Linux infrastructure, and automation. My work focuses on transforming research ideas into reliable, scalable solutions through containerization, Edge AI, and efficient data pipelines.
Currently working at Kılıç Holding, where I contribute to enterprise IT infrastructure, data quality assurance, automation, and digital transformation initiatives while continuously expanding my expertise in artificial intelligence and systems engineering.
- Production-ready AI & Machine Learning
- Edge AI & Embedded Intelligence
- Linux System Administration & Automation
- Docker & Containerized Deployments
- Signal Processing & GPR Analysis
- Data Engineering & Quality Assurance
- MLOps & AI Infrastructure
- Deep Learning
- Machine Learning
- Computer Vision
- Natural Language Processing
- Signal Processing
- Linux Administration
- Bash Scripting
- System Automation
- Docker Containerization
- Edge Computing
- Raspberry Pi
- Data Pipelines
- Big Data Quality Assurance
- Data Processing
- Workflow Automation
Python • SQL • Bash • MATLAB
PyTorch • TensorFlow • Scikit-learn • OpenCV • NumPy • Pandas
Linux • Docker • Git • GitHub Actions • Raspberry Pi
PostgreSQL • MySQL
VS Code • Visual Studio • PyCharm • Jupyter Notebook
| Project | Area | Description |
|---|---|---|
| AquaTrade MLOps | MLOps | End-to-end machine learning pipeline for automated model training, deployment, and monitoring. |
| AI Waste Classification | Computer Vision | Deep learning-based image classification system for intelligent recycling and waste sorting. |
- Artificial Intelligence
- Systems Engineering
- Linux
- Edge AI
- MLOps
- Signal Processing
- Data Engineering
- Infrastructure Automation
- Open Source
Great AI systems are not built by models alone—they are built through reliable infrastructure, clean data, thoughtful engineering, and continuous automation.
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