Working on optimising and building key features in the multimedia pod. Optimised the content pipeline using dedicated GPU-enabled instances and content aware encoding to save more than 50% of the time (and cost) spent in video encoding & packaging.Researching multiple use cases of Multimodal AI to assist in providing more context to the viewers around the subject being taught by the faculty. This includes live multilingual captioning and context-aware summary.Built an in-house service which works like Kindle to serve publications securely, maintaining IP integrity and preventing unauthorised access.

Built an in-house low-latency live streaming infrastructure with WebRTC and HLS. Moved the org from Vimeo Livestream to this infra in less than two months with zero downtime, and saved a ton of cash in the process! Built systems to serve Video On Demand via HLS and DASH, while maintaining content security and preventing piracy via Widevine and Fairplay DRM. Had key integrations with YouTube to enable seamless simulcast with streaming infra, that helps provide free classes and generate more leads from users. Also worked on several product requirements that vastly improved the user experience and revenue, like Testbook SuperCoaching and Skill Academy.

Worked with senior developers on Testbook's core backend service and implemented multiple features like Multilang support, Masterclasses, Push Notifications using FCM and SMS Reminders.

Worked on core backend and microservices using Django REST framework and Flask, with a touch of AI and ML

Responsible for conducting various University level events with Team CSI and Bitwise.