Download my Resume!
- Email : My middle name and first name, at gmail (My middle name - melesse, first name - bethel)
- Github - https://github.com/bethelmelesse
- LinkedIn - https://linkedin.com/in/bethelmelesse
Ajou University, Suwon, South Korea
- Overall GPA: 4.31/4.5
- Two-time TA for Digital Circuit and Database Course
Hankuk University of Foreign Studies, Seoul, South Korea
- Overall GPA: 3.75/4.5
- President of United Students of Silk-Road University Network
Addis Ababa Institute of Technology, Addis Ababa, Ethiopia
- #1 university in Ethiopia
- 3 semesters of undergraduate studies in Bachelor of Software Engineering
Database and Dependable Computing Lab
Ajou University, Suwon, South Korea
- Processed > 1000 TB of Common Crawl for < 2 $, extracting SOTA monolingual datasets for 7 languages.
- Improved multi-lingual LLMs using Quantized Low-Rank Adaptation (QLoRA) on consumer GPUs.
- Published in Proceedings of Symposium of the Korean Institute of Communications and Information Sciences.
- Code released at “UnifiedCrawl”
- Improved cross-domain/cross-task generalization of multi-modal classifiers by fusing descriptions of classes/tasks.
- Achieved SOTA zero-shot performance on CIFAR, RCV1, 20 NG (under review for publication).
- Trained a BERT-like transformer Language-Model (LM) for IR for African languages.
- Compared traditional IR approaches (tf-idf, BM25) vs. SOTA approaches.
- Added support for more languages to “AllTrans”, an android application translator.
- Added extra languages to “Android-Auto-Localization”, to localize Android application’s resources.
Programming Languages | Python (Intermediate), Java (Intermediate), Shell Script (Beginner) |
Machine Learning | Deep Neural Networks, Generative Models |
Deep Learning Libraries | Pytorch, HuggingFace, Pandas, NumPy, Scikit-learn, SciPy |
Mathematics & Statistics | Linear Algebra, Probability Theory, Hypothesis & Significance Testing |
Typesetting & Version Control | Latex (Advanced), Git/Github (Intermediate) |
Natural Language Processing(NLP) | Transformers(BERT, GPT, LLaMa), Large Language Modeling, Prompt Engineering, Question Answering |
Computer Vision(CV) | Convolutional Neural Networks (CNNs), Object Detection and Recognition, CLIP, ViT, ResNet Models |
English | 915/990 (Professional) in TOEIC English Reading and Listening (2021) |
Korean | 1-year Intensive Korean Language Course (2017-2018) |
Korean | TOPIK Level 4 (2021) |
Advanced Artificial Intelligence, Advanced Machine Learning, Advanced Topics in Machine Learning (GNN), Advanced Computer Vision, Introduction to Natural Language Processing, Information Retrieval, Advanced Image Signal Processing, Industrial Mathematics Survey.
Natural Language Processing Models | Transformer Model, Bert Model, GLUE, ORQA |
Computer Vision Models | CLIP Model, ViT Model, ResNet Model |
Other ML Models | EGT Model |
Academic Scholarship | Ajou Research Scholarship (2023) - Recommended by HOD as Excellent Student, |
BK Research Scholarship(2022-2024), Ajou Tuition Scholarship (2022-2024) | |
HUFS Tuition Scholarship (2017-2022), Exemplary Student Award (2017) | |
Korean War Scholarship | Awarded by the Embassy of Republic of Korea(2026), Korean War and Military |
Police Widow's Association (2020), Korean War Memorial Foundation (2017-2022), | |
Memorial Association of UN Participation in Korean War (UNPK) (2023) | |
Certificates | KAIST-AAiT IT Training Course (2016), Intensive Korean Language |
Course, HUFS (2017-2018) |
Volunteering for NGOs (Korean Saemul Undong Center, The Korea-Africa Foundation Festival, etc.), acting as Translator/Interpreter/tour guide at the Korean War Veterans Revisit Program, Barista at Hwacheon Ice Festival