Yigit Oguzhan AKBAY

- QA efforts for the NEA-Genesis platform, ATEME’s next-gen cloud-based streaming solution. - Designed and executed test plans for microservices architecture across Kubernetes environments. - Validated key OTT services: ingest, origin-packaging, playout-pipeliner, and monitoring modules. - Developed Python and Bash automation scripts for E2E testing and CI/CD validation. - Performed extensive benchmark and performance tests to evaluate system behavior under real-world workloads. - Executed functional and performance validation in both AWS (EKS, EC2, ECR) and on-premises environments. - Worked closely with DevOps to troubleshoot deployment issues and improve infrastructure reliability. - Used tools such as Helm, Prometheus, Grafana, Jenkins, Docker, and k9s in daily operations. - Contributed to regression and system testing of HLS, DASH, and CMAF workflows. - Logged and tracked bugs via Jira and collaborated with developers on root cause analysis. - Participated in sprint planning and Agile ceremonies as part of a cross-functional international team.

Expertise in DVB, ATSC 3.0, TTML, Teletext, and DVB Subtitling standards and specifications Proficiency in integrating and automating test packages using WITBE Workbench Experience with Video Transport Stream(compliance streams) generation and specifications, including DVB Teletext, TTML, and DVB Subtitle integration Knowledge of quality assurance and certification processes for televisions.

Morphological twin: 3 Dimensional Human Body Creation 3D human body parts segmentation; Hand pose, face, eyes, mouth, noise detection and creation using different 3D human body models using Linux.

The internship focuses on the tracking of fake news in visual content (image, video). The work will mainly focus on: (1)Face Detection and Recognition using Deep Learning and Machine Learnıng Techniques in Video/Frame. (2) Theoretical and methodological study on the possibility of identifying maliciously altered visual content; (3) the experimental study on the possibility of matching visual documents through such detection; (4) the integration of open source ML / AI technologies.

Telecommunication systems

-Studies of different Electrical machines.