Software Test & Approval Specialist

• Performing manual and automation tests on smart TVs.
• Development of Test Automation Tool for TV Software with .Net Core using IronPython programming language, UX/UI design and Back-End development. Preparation of test scenarios, scripts and environment.
• Following and performing necessary approval tests for TVs. (HbbTV, Netflix, Widevine, etc.)
• Preparation of test scenarios, scripts and test environment.
• Mobile app automation tests were developed with Appium and Java.
• Web app automation tests were developed with Selenium WebDriver and Python.
• Development of image processing applications for error detection and email notification for TV automation tests with Python.

Quality Assurance Project Assistant

• Quality Engineer responsible for cash register and white goods PCBA.
• Solved the defects of the products in the field and made improvements in the production line specific to the failure. KPI and performance tracking.
• Analysis and reporting of failure causes of cash registers and white goods.
• Preparing new dashboards in Qlik Sense. Data analysis, visualization and reporting.

Intern

• Startup, testing and verification of new laboratory equipment, preparation of visualization boards for different types of dryer electronic systems and support in daily development activities were performed.

Intern

• Software development for led-wall recommendation systems for customers with C#.
• Image processing application for led-wall calibration was developed with Python.
• Support on daily tasks were performed.

Intern

• Standardized safety and energy tests were conducted for oven, hood and components.

Master’s degree, Computer Engineering, Information Technology

• GPA: 3.70

Bachelor's degree, Electronics & Telecommunications Engineering

• Erasmus Exchange Program

Bachelor's degree, Electrical & Electronics Engineering

• GPA: 3.14

The aim of this project is to create a tool with many testing capabilities for smart and non-smart TV models with an easy to use UI. (Technologies: IronPython, .Net Core, RedRat, SQLite…)

This project is used to control automated tests, capture errors and notify testers via email. (Technologies: Python, OpenCV, QT…)

The aim of this project is to watch drivers fatigue level using Computer Vision and detecting alcohol inside the vehicle using MQ-3 Alcohol Sensor to warn the driver if necessary. (Technologies: Python, OpenCV, Dlib…)

Position control of a servo motor was performed using an industrial computer. (Technologies: Beckhoff, TwinCAT, Structured Text…)