Libeamlak Chekol
I’m Libeamlak Chekol, a software engineer with 5+ years of experience building scalable backend systems, distributed services, and reliable cloud infrastructure.
About
I’m Libeamlak Chekol, a software engineer with 5+ years of experience building scalable backend systems, distributed services, and reliable cloud infrastructure. I’ve designed and deployed production-ready REST APIs used by web and mobile applications, and I enjoy performance work like database optimization, caching, and improving system observability.
Alongside core backend engineering, I’ve contributed to large-scale AI-related evaluation and dataset efforts—reviewing hundreds of system design tasks and validating infrastructure-as-code setups in simulated cloud environments. From microservices and monitoring pipelines to scalable job processing and API gateway design, I focus on building dependable systems that can grow with real-world demand.
- 7 years' experience
- Joined October 2026
Industry experience
- Software & Internet
- Computers & Electronics
Work experience· 5 roles
Contributed datasets used to train large language models on backend systems and distributed architecture. Evaluated 600+ algorithmic and system design tasks focusing on scalability and reliability. Designed architecture evaluation prompts improving AI reasoning accuracy by ~25%. Validated Infrastructure-as-Code templates using simulated AWS environments.
Designed and deployed 30+ REST APIs supporting distributed services for web and mobile applications. Reduced API latency by 35% through query optimization and caching strategies. Built microservices handling thousands of daily requests in production systems. Implemented monitoring and logging pipelines to improve incident detection by 40% and participated in architecture reviews to reduce service failures by ~20%.
Developed backend services powering production applications used by thousands of users. Designed scalable APIs improving service throughput by ~30%. Optimized database queries to reduce backend processing time by 25% while supporting reliable production performance.
Education
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