cv

Basics

Name Abdulmunim Jundurahman Jemal
Label AI / ML Engineer and Researcher
Email abdulmunimjemal@gmail.com
Phone +251 900729000
Url https://abdulmunim.me
Summary Machine Learning Engineer with expertise in NLP, backend development, and speech processing. Passionate about AI research and applying technology to solve real-world challenges, particularly in underrepresented languages and edge computing.

Work

  • 2024.10 - 2024.11
    AI Engineer
    SMARTi Co.
    Designed and deployed advanced speech data processing pipelines, improving efficiency in large-scale AI applications of IoT user command recognition and fine-tuning models for real-time performance.
    • Deployed efficient speech recognition models for IoT applications.
  • 2024.05 - 2024.12
    Software Engineer
    Amazethu
    Developed NLP models for a speech-based language learning app, optimizing speech recognition and translation accuracy for improved user interaction.
    • Improved user experience through optimized NLP systems.
  • 2024.02 - 2024.05
    AI Research Intern
    Icog Labs
    Engaged in Neuro-Symbolic AI research, translating theoretical concepts into executable algorithms, and contributing to Explainable AI methodologies.
    • Contributed to Neuro-Symbolic AI research.
  • 2023.06 - 2024.01
    NLP Intern
    Lesan.AI
    Built scalable data collection and preprocessing pipelines, automated preprocessing for multilingual low-resource machine translation, and contributed to end-to-end system improvements in the backend.
    • Improved low-resource multilingual translation systems.

Education

  • 2021.09 - 2026.06

    Addis Ababa, Ethiopia

    Bachelor
    Addis Ababa University
    Software Engineering (AI Specialization)
    • Applied Mathematics I / II / II
    • Statistics and Probability
    • Mathematics for AI
    • Social Network Analysis
    • Machine Learning
    • Web and Mobile App Development
    • Data Analysis
    • Data Structures and Algorithms
    • Object-Oriented Programming

Certificates

Database Design Specialization
University of Michigan (Coursera)
Computer Vision Basics
The State University of New York (Coursera)
Natural Language Processing Specialization
DeepLearning.ai (Coursera)
Machine Learning Specialization
Stanford University (Coursera)

Projects

  • 2024.01 - 2024.01
    Afan Oromo News Classification System
    Researched and implemented an entire custom data collection and preprocessing pipeline for “Afan Oromo” - a low resource local language, achieving 96.5% accuracy, 0.95 precision, and 0.97 recall in a news classification task. Additionally, I published the dataset on Kaggle for public usage.
    • 96.5% accuracy
    • dataset on Kaggle
  • 2023.10 - 2024.02
    Amharic Context-Aware Spell Checker
    Developed a first-of-its-kind “Context-Aware” spell checker for Amharic - a low-resource local language. Improving the weakness of previous systems that were dependent only on dictionary lookup.
    • Context-Aware
    • weakness of previous systems

Skills

Programming
Python
JavaScript
TypeScript
C / C++
SQL
Technologies
Docker
PostgreSQL
Kubernetes
Git Actions
VectorDB
Distributed Systems
NoSQL and SQL Database
Libraries
Hugging Face
PyTorch
TensorFlow
AutoML
Scikit-learn
Pandas
NumPy
Matplotlib
Seaborn
NLTK
SpaCy
Gensim
FastAPI

Languages

Amharic
Native
Afan Oromo
Native
English
Fluent
Arabic
Intermediate
Japanese
Basic

Interests

AI Research
NLP
Edge Computing
Low-Resource Languages
Model Quantization
Medical AI
Books
The Beginning of Guidance (Al-Ghazali)
The Beginning and The End (Ibn Kathir)
Sapiens (Noah Harari)
Crime and Punishment (Fyodor Dostoyevsky)
From Zero to One (Peter Theil)
The Alchemist (Paulo Coelho)
Animes
Attack on Titan
Vinland Saga
Demon Slayer
Naruto
One Piece

Publications