Eren Çaldıran

I work on AI R&D and applied engineering in a lean startup environment, focusing on autonomous driving, autonomous systems, computer vision, sensor fusion, end-to-end learning, V2X, and applied AI decision-support systems as the main hands-on AI engineer across multiple parallel projects. Selected work includes: • End-to-end autonomous vehicle platform for passenger or cargo transportation, using multi-camera perception, route-map input, vehicle dynamics, and CAN-based vehicle control. • Multi-task driving scene perception, camera-LiDAR sensor fusion, and AI wiper-control platform, resulting in a Springer publication and a granted TURKPATENT patent. • Crisis-aware AI supervisor for Turkcell field operations, optimizing base-station alarm prioritization and field crew assignment under emergency and high-load network conditions. • AI-based music streaming fraud analytics and forecasting platform using monthly artificial streaming reports, time-series forecasting, clustering, and dashboard-based evaluation. • V2X cooperative perception work for sharing AI-perceived road scene information through connected mobility systems. These projects contributed to industrial R&D outcomes, real-world vehicle testing, academic publication, patent output, and conference-level research on cooperative perception.

Completed an internship focused on enterprise technologies, including chatbot development with IBM Watson Assistant and exposure to LinuxONE and IBM Power Systems infrastructure.

Developed a real-time color recognition mobile application, focusing on mobile application development and comparing hybrid versus native development approaches.