I am a Computer Engineering student with a strong focus on Artificial Intelligence, mobile application development, full-stack systems, and data science. I enjoy building end-to-end solutions — from training machine learning models to designing user-friendly mobile applications and developing scalable backend architectures.
My approach to learning is hands-on: I actively work on real-world projects and participate in datathons to challenge myself under pressure and continuously improve my problem-solving skills. I place high importance on writing clean, maintainable, and efficient code, and I enjoy sharing knowledge as I grow.
- 🔭 Currently: Developing and experimenting with machine learning models
- 🌱 Learning: Deep learning architectures and improving Flutter development skills
- ⚡ Fun Fact: I built a multi-floor cafe order management system using PHP — now staff no longer need to run between floors to manage orders
| Project | Stack | Description |
|---|---|---|
| 🏭 Parlayan Yıldızlar — DATATHON'26 | Python · Pandas · scikit-learn | Built a dual-model pipeline to predict industrial paint tank levels using time-series sensor data. Applied autoregressive features and GroupKFold validation to prevent data leakage and improve generalization. |
| 📡 ESP32 IoT Sensor Monitoring | ESP32 · DHT22 · LDR · I2C LCD | Developed a real-time environmental monitoring system using Round Robin scheduling. Sensor outputs are interpreted and visualized via RGB LED feedback system. |
| 🌤️ Weather App | Flutter · Dart | Developed a mobile weather application with API integration, focusing on clean UI design and asynchronous data handling. |
| 🕵️ Spyping | C# · .NET | Built a desktop application that monitors user-defined servers and sends email alerts when downtime is detected. |
| ☕ Orderflow | PHP · CSS · JavaScript | Designed and deployed a multi-floor cafe order management system, reducing operational friction and improving efficiency in a real business environment. |