Mohammed S.

Bluejeans Networks, a cloud-based video conferencing solution has developed an integration with Panopto that allows meetings that have been recorded in BlueJeans to be automatically uploaded into Panopto's platform. Panopto, which is a video platform that allows organizations to store, manage, edit, and share videos within their organization. Linkedin was one of the initial users of this integration followed by many enterprise customers. As a senior engineer, I was involved in working with Panopto Development Team to understand their API documentation and get the integration kick-started. Designed and developed a continuous pipeline on AWS to upload Bluejeans recorded meetings to Panopto Cloud. Helped the QA team and junior engineers to understand the integration thoroughly and successfully lead the project to production. Responsible for the life-cycle of the project, actively monitoring the services for any failures and built appropriate retry mechanisms in the pipeline. Working with the customer support team to resolve the production issues. Technologies used: Java, Spring Boot, AWS, AWS S3, AWS Lambda, DynamoDB, MYSQL, Rabbit MQ, REST API.

Bluejeans Networks, a cloud-based video conferencing solution where customers can record their meetings and can be viewed at a later point. Bluejeans generates a high volume of videos every day that have to be transcoded in near real-time in a cost-effective manner. This system handles more than half a million jobs per day leading to a monthly savings of $300K. Essentially, video transcoding is the conversion of a video file from one format to a better-compressed version to ensure consumers can stream content without buffering and at the highest possible qualities. I was part of the development team where an in-house video transcoding system was built to replace an external system which was proving to be very expensive to the organization. This project was built on AWS and supports Auto scaling which can process more than 10000 jobs parallelly in a seamless manner. I was responsible for the implementation, bug fixes and enhancements. Technologies used: Java, AWS S3, AWS EC2, AWS Auto Scaling, AWS SQS, FFMPEG.