Yavuzhan Baykara

Project Management and Deployment for the Optical Eye and ControlVision projects in the R&D department:

Project Management Process:

• Managed code version control using GIT.
• Facilitated project management and collaboration through Notion.

Project Research and Development Process:

• Designed deep learning models.
• Trained and evaluated models using ClearML and Tensorboard.
• Generated synthetic data using techniques like NB, WGAN, and SinGan.
• Prepared datasets using Roboflow.
• Conducted data analysis and visualization with Numpy, seaborn, and matplotlib.
• Implemented image processing techniques using Opencv and Numpy.
• Developed software interfaces with PYQT and backend programming in Python.
• Utilized CUDA and computer vision libraries such as Pypylon Basler.

Project Internal Deployment Process:

• Set up machines and ensured compatibility with various fabric types.
• Adapted image processing techniques for new fabric types.
• Performed fine-tuning as required.

During my high school internship, I was part of a team that developed a C#-based software for tracking faulty electronic devices within the company:

• Collaborated with a team to develop a fault-tracking software in C#.
• The software aimed to streamline the process of identifying and managing faulty electronic devices within the company.