TAMIL SELVAN

Client: MAX

Team: Quality of Experience and Bench marking and Player

Description: MAX is a streaming application owned by Warner Bros Discovery that operates across various platforms, including Android, iOS, living room devices, and digital streaming devices.

Roles & Responsibilities:

• Conducted a comprehensive assessment of the video-watching experience from a customer's perspective and enhanced user satisfaction by leveraging historical data collected through the MUX tool.

• Validated the performance of players across diverse devices for both VOD and Live Streams encompassing mobile, web, living room devices, and digital media players, using both real and virtual testing methodologies with tools such as Browser Stack and Head spin.

• Designed and implemented an Automation Framework from the ground up, employing the Cucumber Framework in conjunction with Appium and JavaScript, seamlessly integrated with GHA for automated testing.

• Crafted end-to-end automation scripts for mobile and web players, focusing on Quality of Experience (QoE) and players, resulting in a significant 90% reduction in manual testing efforts.

• Acquired a profound understanding of Mobile Automation, reaching a proficiency level of 90%.

• Contributed to the Bench marking team, collecting critical metrics related to the performance of competing players and driving enhancements to align with market demands, thereby improving our application's quality.

Client: Discovery Plus

Team: Video Delivery Platform

Roles and Responsibilites:

• I oversee backend API automation for the Discovery+ application, responsible for the complete end-to-end process of OTT applications, from the creation of source files to hosting content in the user interface for both live and Video on Demand (VOD) services. Roles & Responsibilities:

• Conducted in-depth analysis and successfully executed functional end-to-end test cases for both live and VOD platforms. • Proficiently generated videos, programs, and clips for live channels using inflow and diligently monitored their performance using the failover console. • Played a vital role in supporting and monitoring the Europe region's coverage of the Tokyo 2020 Olympics, earning recognition from our clients.

• Collaborated on the implementation of an AI Audio Detection Tool from AWS, specifically designed for multi-language commentary during the Tokyo Olympics and the French Open for Eurosport. • In the VOD domain, I conducted extensive end-to-end testing, managing the complete process from video creation in S3 buckets to the final video playback on the UI, serving multiple tenants in the US, Brazil, Philippines, and EMEA regions.

• Developed automated scripts for end-to-end scenarios in VDP test cases for AUTHZ team using the Robot Framework and Python, resulting in a 100% reduction in manual work.