Atnabon Deressa Software Engineer
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Machine Learning
Machine Learning
Frameworks: TensorFlow, LangChain, PyTorch, Keras
Algorithms and Techniques: Deep Learning, Natural Language Processing, Computer Vision, Regression, Classification, Clustering
Software Engineering
Software Engineering
Programming Languages: JavaScript, Python, SQL
Front-end Frameworks: HTML, CSS, JavaScript, React Native
Back-end Frameworks: NodeJS, Fast API
Database Management: MySQL, PostgreSQL, MongoDB
Cloud: AWS, Docker, Kubernetes
Version Control: Git, DVC
Data Engineering & MLOps
Data Engineering & MLOps
Languages: Python
Tools: SQL, Postgres, Apache Kafka, DVC (Data Version Control), Apache Airflow, Docker, Git, GitHub Actions, MLflow, Streamlit
Visualization: Matplotlib, Seaborn
Other
Other
Communication Skills: Strong
Problem-solving: Eager to solve complex issues
Agile Methodologies: Experienced
Languages
- English: Proficient
- Amharic: Native proficiency
- Afanoromo: Native proficiency
About me
Machine learning engineer with Software Engineering experience. Proficient in building and deploying machine learning models, data preprocessing, natural language processing, and model optimization using tools such as Python, TensorFlow, and scikit-learn. Going forward, I aspire to make meaningful contributions to the industry by advancing theory and building ML-powered systems.
Education
10 Academy (2024-2025)
Professional Certificate - Machine Learning, Data Engineering, and Generative AI
Professional Certificate - Machine Learning, Data Engineering, and Generative AI
Relevant courses
Model evaluation and deployment.
MLOps , CI/CD
Collaboration and teamwork
Modelling
Key projects
Jimma University (2019-2024)
BSc. (Software Engineering)
BSc. (Software Engineering)
Relevant courses
Data Structure and algorithms
Web development
Advanced Programming
Probability and Statistics
Database Management Systems
Work Experience
Software Engineer
Developed a comprehensive sentiment analysis (Leveraging natural language processing (NLP) techniques) and marketing dashboard solution for an Ethiopian bank. By integrating data from the bank's mobile super app, social media, and other customer channels, the dashboard provided the marketing and sales teams with real-time insights on customer sentiment, ad performance, app usage, and subscriber growth
Developed the merchant segment of a mobile super app for a local bank on both Android and iOS platforms.
The app features a pixel-perfect design and provides a seamless user experience across platforms, enabling merchants to manage transactions, view analytics, and handle customer interactions efficiently.
Achievements:
Successfully improved application performance by optimizing code and implementing best practices.
Collaborated with cross-functional teams to deliver high-quality software solutions within tight deadlines.
Gained valuable experience in a real-world development environment, expanding my knowledge and proficiency in key technologies.
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