Istanbul, Istanbul, Türkiye
• Implemented a custom SPI driver from scratch to ensure optimized and reliable communication between secure enclave modules. • Worked on ARM Cortex-M0+ secure enclave, developing low-level software for embedded security operations. • Designed a desktop application for chip verification used by the U.S. Department of Health and Human Services. • Developed ADAS algorithms and AI frameworks for autonomous systems targeting GPU boards and FPGA. • Built image processing algorithms for quality control in Europe’s largest glass production company. • Created AI-based models for warehouse inventory management, detecting and counting items such as cardboard boxes. • Participated in the design of fish counting machines using machine learning.
• Used YOLOP model to detect lane and car for autonomous driving system • Nvidia Jetson TX2 was chosen as hardware • RPLidar used for obstacle detection
• Managed an AI-powered program to optimize delivery truck and salesman routes. • Designed a mobile application interface used by 600 sales personnel to simplify their daily tasks. Personnel can see their customers’ location and by using a route optimization algorithm in the backend, they can visit customers as effectively as possibly.
• Used excel to analyze daily sales data and identify which products were undersold. • Generated sales reports for managers for undersold products in their respective areas. • Created regional total turnover reports on a monthly based.
• Organized cross-departmental team to participate in the curiosity rover competition • Led team of 5 people for the Electro-Software team. Defined weekly plans and distributed tasks to team members resulting in the successful completion of the project. • Coded image processing module using Python and OpenCV to detect objects. The algorithm detects colour and calculates how far it is from the centre.