Basak Nehir Artan

I've built AI-powered systems spanning real-time threat detection, financial decision support, and predictive analytics. My work combines backend development, machine learning, data engineering, and practical evaluation.

For VisionGuard, I designed and implemented a real-time computer vision pipeline using FastAPI, WebSockets, OpenCV, PostgreSQL, and YOLOv8 to detect weapons, fire, and violence from live camera streams. I contributed backend architecture, REST APIs, notification workflows, historical detection management, and automated tests; the YOLOv8 model achieved 89.6% mAP@50 across 50,000 annotated instances.

At MAN Truck & Bus through Miya Software Consulting Technology Services, I developed Oracle APEX components for an enterprise CRM application and cleaned and normalized SQL data across sales representatives, 81 cities, and vehicle categories. At Kalyon PV, I supported network, security, and cybersecurity operations while using PostgreSQL to export MES data and prepare IT performance reports.

I've also co-authored and presented research on an AI-powered financial decision support system at UBMK'25. Through projects including FinSentio, Olympic Medal Prediction, and airline passenger satisfaction analysis, I've worked with multi-agent LLMs, RAG, machine learning pipelines, Power BI, and data-driven product insights.