Looks like you have JavaScript disabled. For the full Twine experience, you will need to re-enable it.

Hi, I'm Liban Abduba, a passionate software engineer specialized in Artificial Intelligence with a strong background in full-stack development. I have experience building robust applications using Django and Next.js, and I've worked on projects involving real-time data processing and machine learning. I enjoy sharing knowledge as an assistant lecturer and am currently involved in cutting-edge research on multimodal machine learning for healthcare applications. I am always eager to solve complex problems and contribute to impactful tech innovations.…Hi, I'm Liban Abduba, a passionate software engineer specialized in Artificial Intelligence with a strong background in full-stack development. I have experience building robust applications using Django and Next.js, and I've worked on projects involving real-time data processing and machine learning. I enjoy sharing knowledge as an assistant lecturer and am currently involved in cutting-edge research on multimodal machine learning for healthcare applications. I am always eager to solve complex problems and contribute to impactful tech innovations.

Liban Abduba





Hi, I'm Liban Abduba, a passionate software engineer specialized in Artificial Intelligence with a strong background in full-stack development. I have experience building robust applications using Django and Next.js, and I've worked on projects involving real-time data processing and machine learning. I enjoy sharing knowledge as an assistant lecturer and am currently involved in cutting-edge research on multimodal machine learning for healthcare applications. I am always eager to solve complex problems and contribute to impactful tech innovations.…Hi, I'm Liban Abduba, a passionate software engineer specialized in Artificial Intelligence with a strong background in full-stack development. I have experience building robust applications using Django and Next.js, and I've worked on projects involving real-time data processing and machine learning. I enjoy sharing knowledge as an assistant lecturer and am currently involved in cutting-edge research on multimodal machine learning for healthcare applications. I am always eager to solve complex problems and contribute to impactful tech innovations.

Available to hire

Hi, I’m Liban Abduba, a passionate software engineer specialized in Artificial Intelligence with a strong background in full-stack development. I have experience building robust applications using Django and Next.js, and I’ve worked on projects involving real-time data processing and machine learning.

I enjoy sharing knowledge as an assistant lecturer and am currently involved in cutting-edge research on multimodal machine learning for healthcare applications. I am always eager to solve complex problems and contribute to impactful tech innovations.

Skills

Experience Level

Expert

Expert

Expert

Intermediate

Intermediate

Intermediate

Intermediate

Intermediate

Intermediate

Intermediate

Intermediate

Work Experience

Fullstack Developer(BE Heavy) at Kifiya Financial Technologies

December 1, 2022 - Present

Built efficient Django pipelines and cron jobs to handle millions of loan records, improving performance by 10%. Implemented Redis caching and query optimizations, reducing load times by 3% for high-traffic scenarios. Developed a Next.js frontend with Django backend for real-time liquidity tracking and secure transactions.

Assistant Lecturer, Part-time at Addis Ababa University

May 31, 2025 - July 30, 2025

Assisted in teaching core concepts of Data Structures and Algorithms using C++, including arrays, linked lists, stacks, queues, trees, graphs, and sorting/searching algorithms. Provided hands-on support during lab sessions, helped students debug C++ code, and clarified theoretical concepts to enhance learning outcomes.

Research Fellow at Fatima Fellowship

September 1, 2024 - Present

Working research on multimodal machine learning, focusing on training medical datasets for a specialized language model (miniCPM) designed for healthcare applications. Developing advanced methodologies to integrate and process heterogeneous medical data, including clinical text, images, and structured datasets.

Machine Learning Intern at Ethiopian Artificial Intelligence Institute

June 30, 2023 - July 30, 2025

Employed advanced segmentation models such as U-Net and Mask R-CNN to identify and isolate regions affected by coffee leaf disease. Successfully designed and implemented a state-of-the-art coffee leaf disease detection system, achieving an accuracy rate of over 90%.