Tsega Sime

I am a backend engineer with extensive experience in designing scalable systems and optimizing performance for millions of users. My journey has taken me from Facebook Watch to Loom, Amazon Prime Video, and AWS TV, where I have built resilient infrastructures that maintain uptime even under pressure. I thrive on tackling complex problems and am always ready to dive deep into the technical challenges that come my way.

At Amazon, I led the enhancement of the content analysis pipeline for Amazon Prime Video, integrating AI-driven capabilities that enabled automated video summaries and scene highlights. My role involved optimizing video processing workflows, achieving a remarkable 99.9% uptime through robust automation and monitoring. I believe in the power of collaboration and have mentored engineers while driving the adoption of cloud-based best practices across teams.

Previously at Loom, I architected scalable pipelines for AI-powered video processing tasks, enhancing user accessibility and engagement through innovative features. My experience spans various technologies and methodologies, including microservices architecture and distributed systems, which I leverage to deliver high-quality solutions that meet user needs and business goals.