Liben Adugna

I’m a software engineer with expertise in machine learning systems, code evaluation, and full-stack development. I focus on building reliable products while rigorously validating AI outputs for correctness, consistency, and reliability.

As a Freelance Machine Learning Engineer, I built NLP and analytics models (TF-IDF, clustering, ensemble) on 50,000+ records, improving prediction accuracy by ~18%. I also developed Django REST APIs serving 5,000+ requests/month and deployed full-stack web applications that reduced client data-processing time by ~40% through automation and optimized workflows.

At Revelo, I’ve worked as an AI Systems Evaluator and Data Architecture Contributor, evaluating AI outputs across 8 ML models using structured validation metrics. I reviewed pull requests, refined evaluation guidelines, and improved system code quality and reproducibility.

Previously, I delivered full-stack web and Flutter mobile apps for 5+ clients, including REST API work for authentication, database integration, and dynamic workflows—reducing platform errors by ~25%. I also served as a Senior Technical Mentor for Machine Learning at CSEC-ASTU, mentoring 40+ students and supervising 8+ ML projects.