Libeamlak Woldedawit

Contributed datasets for training large language models on backend systems and distributed architecture. Evaluated 600+ algorithmic and system design tasks and designed evaluation prompts improving AI reasoning accuracy by ~25%.

Designed and deployed 30+ REST APIs supporting distributed services. Reduced API latency by 35% through query optimization and caching, built microservices, and implemented monitoring pipelines improving incident detection by 40%.

Developed backend services powering production applications used by thousands of users. Designed scalable APIs improving service throughput by ~30% and optimized database queries reducing backend processing time by 25%.

Built backend APIs supporting digital platforms and content services. Improved reliability with structured logging reducing production failures by 20% and delivered scalable backend solutions with distributed engineering teams.

Developed backend services supporting internal and customer-facing applications. Improved reliability through debugging and performance improvements.

Completed a program in Data Structures and Algorithms, backed by Google and Bloomberg.

Pursued a Bachelor of Science in Software Engineering, focusing on software development and engineering principles.