At Belet, I developed an adaptive video streaming backend serving 100K concurrent viewers across mobile, smart TV, and web, with less than 1% buffering or errors. I also implemented a transcoding pipeline for over 200 hours of video per day, reducing processing time by 33%.
I built and maintained API backends for mobile and smart TV apps supporting 500K monthly active users, with 99.9% uptime. At Belet, I also developed a financial reporting panel that brought data from seven services together and cut manual reporting from two days to a few hours.
During my internship at TMÝG MBB, I contributed backend services for an educational app and a school management platform. I work primarily with Go and have experience with PostgreSQL, Redis, Kafka, RabbitMQ, Docker, Kubernetes, gRPC, and REST APIs.
