Position: QA Engineer
Category: QA
English level: upper
Years of experience: 2

A digital twin is a virtual representation of real-world objects, including 3D optimizing, and intralogistics processes involving using a digital twin to create a virtual model of a facility's operations. Also, real-time monitoring, Machine Learning, Tracking and object recognition, predictive analysis, process testing, and resource allocation for improved efficiency, cost savings, and better decision-making.  Collaborated with customers such as  Coca-Cola, Meier Tobler, and Brummer.
Mentorship.
Proficient in various testing methodologies, including GUI, functional, exploratory, sanity, regression, integration, compatibility, and use case testing, for two “fields”: one focused on camera-based object identification and tracking on labeling, training models, and machine learning predictions, and the other — algorithms-based analysis to enhance software performance and functionality.

Experienced in the system and release testing to ensure software quality and adherence to standards.

Skilled in using Git version control, including branch creation, changes addition, commits, pulls, pushes, merges, updates, and deletions.

Proficient in Git for project updates, encompassing branch switching, change commits, pulling updates, and pushing changes to repositories.

Competent in creating, updating, and managing test cases and test plans using TestLink and documentation in Coda.

Collaborated with developers to debug loggers using Python, aiding in issue identification and resolution.

Capable of preparing product releases, and contributing to the software release process.

Experienced in defect tracking using JIRA, effectively managing software issues.

Skilled in server configuration and test environment setup to establish suitable testing conditions.

Active participation in team review meetings DFMs, and retrospectives showcasing organizational and presentation abilities, including customers.

Specialized in creating digital twins for optimization in intralogistics processes.

Contributed to knowledge sharing within the team to facilitate growth and learning.

Proficiently utilized ’dbeaver-ce’ to execute database queries for data analysis.

Proficient in Java at a level suitable for developing and maintaining automated tests.

Skills include familiarity with Gazebo, Git, hardware testing, machine learning, Linux, ML, Windows, TestLink, DBeaver, Heidi, and HTML. These skills align with the earlier mentioned knowledge of testing theory, test documentation, and case creation, Jira bug tracking, SQL knowledge, Git and PyCharm usage, and Scrum work experience.