Software Engineer with expertise in machine learning systems, code evaluation, and full-stack development. Experienced in validating AI-generated outputs, reviewing system implementations, and building scalable web and mobile applications.
Strong in debugging, performance optimization, and designing reliable, maintainable software systems. Have processed datasets with 450k+ records for behavioral segmentation, built anomaly detection systems on 110k+ transactional records, and designed NLP-based semantic matching engines.
Foundation in data structures and algorithms — 400+ competitive programming problems solved on LeetCode and Codeforces.
- Email: libenadugna285@gmail.com
- Website: www.liben.dev
| Role | Company | Period |
|---|---|---|
| Freelance Machine Learning Engineer | Remote | Jul 2022 – Present |
| AI Systems Evaluator & Data Architecture Contributor | Revelo | Mar 2025 – Mar 2026 |
| Full-Stack Software Engineer | Faris Technology Private Limited | Aug 2023 – Feb 2025 |
| Senior Technical Mentor – Machine Learning | CSEC-ASTU | Sep 2022 – Jun 2023 |
Key highlights:
- Built NLP and analytics models (TF-IDF, clustering, ensemble) on 50,000+ records — ~18% accuracy improvement
- Developed Django REST APIs serving 5,000+ requests/month for ML integration
- Deployed full-stack web apps reducing client data-processing time by ~40%
- Evaluated AI outputs on 8 ML models at Revelo for correctness, consistency, and reliability
- Developed full-stack web and Flutter apps for 5+ clients at Faris Technology
- Reduced platform errors by ~25% through code reviews and edge-case testing
- Mentored 40+ students in ML system design; supervised 8+ ML projects
400+ problems solved — dynamic programming, graphs, greedy, optimization.
Trained through the Africa to Silicon Valley (A2SV) Algorithms & Data Structures Program (Jun 2024 – Jun 2025).
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