Summary
Bethel Tessema is an AI/ML Engineer based in Seoul with nine years of experience and a Master’s in Artificial Intelligence, blending academic rigor with practical system-building. At Ajou University they led research that processed over 1000 TB of Common Crawl for under $2 to create SOTA monolingual datasets and advanced low-cost fine-tuning (QLoRA) on consumer GPUs, work that influenced multilingual LLM adaptation and was published in a national symposium. Now at 3billion, Bethel applies that research-first mindset to production ML solutions, with strengths in low-resource data engineering, multi-modal classifier generalization, and cross-domain zero-shot learning. Fluent in English and Amharic, they also have hands-on translation experience that informs thoughtful language-aware ML design. Colleagues describe them as a pragmatic researcher who turns large-scale data wrangling and clever model adaptations into affordable, deployable improvements.
9 years of coding experience
2 years of employment as a software developer
Bachelor's of International Studies, International/Global Studies, 3.75/4.5, Bachelor's of International Studies, International/Global Studies, 3.75/4.5 at Hankuk University of Foreign Studies
Software Engineering, Software Engineering at Addis Ababa University
Master of Science, Artificial Intelligence, 4.31/4.5, Master of Science, Artificial Intelligence, 4.31/4.5 at Ajou University
English, Amharic, Korean