I'm a Computer Engineering student who enjoys building practical projects in machine learning, computer vision, and autonomous systems.
Most of my recent work has been around reinforcement learning, UAV simulation, visual perception, and applied machine learning. I like taking a problem beyond a basic notebook: building a working prototype, testing it, and documenting how it behaves and where its limits are.
Right now, I'm strengthening my machine-learning foundation while continuing to work on autonomous navigation and intelligent decision systems.
| Project | What I built | Stack |
|---|---|---|
| Drone RL in AirSim | PPO-based autonomous drone pursuit with a LiDAR safety layer and moving-target tracking in AirSim | Python · PPO · Stable-Baselines3 · Gymnasium · AirSim · PyTorch |
| Autonomous Car in AirSim | OpenCV- and depth-assisted autonomous driving prototype using road-network guidance, local mapping, trajectory planning, and safety logic | Python · OpenCV · AirSim · NumPy |
| UAV Autonomous Patrol — YOLOv8 | Dual-UAV patrol and aerial monitoring system with real-time YOLOv8 object detection | Python · YOLOv8 · OpenCV · AirSim |
| KÖPRÜ-AI | Explainable social-feed reranking prototype combining constructiveness, topic relevance, interaction clustering, and language-risk signals | Python · scikit-learn · TF-IDF · Logistic Regression · K-Means |
| VeriGuard-AI | Local CSV data-quality analysis tool with anomaly detection, drift analysis, leakage checks, and automated reporting | Python · Streamlit · pandas · scikit-learn · Isolation Forest |
| Telco Customer Churn ML | End-to-end churn prediction with leakage-safe preprocessing, model comparison, tuning, and test evaluation | Python · pandas · scikit-learn · Random Forest · Jupyter |
- Machine Learning: scikit-learn, model evaluation, feature engineering, classification, clustering
- Reinforcement Learning: PPO, Gymnasium, Stable-Baselines3
- Computer Vision: OpenCV, YOLOv8, image-processing pipelines
- Autonomous Systems: Microsoft AirSim, UAV simulation, LiDAR-based safety logic, local planning
- Data: pandas, NumPy, Matplotlib, seaborn, SQL
- Development: Python, Linux, Git, GitHub, Docker, Streamlit
