Yeronis
Assefa
Hubena
Artificial Intelligence Engineer
AI β’ Computer Vision β’ Software Development
Building practical AI solutions through machine learning, computer vision and software development. Interested in applying intelligent software to real-world technical systems.
Deep Learning
Neural Networks & AI
Computer Vision
Image Processing & Analysis

About Me
Artificial Intelligence Engineer with a Master's in Artificial Intelligence and a Bachelor's in Software Engineering from the University of Agder, with a background in computer vision, deep learning, reinforcement learning and software development.
My work and projects include AI-assisted 3D concrete printing, underwater image analysis, reinforcement learning, predictive modelling and application development. I also enjoy taking initiative beyond engineering, including teaching programming and building an early-stage import business connecting suppliers in Ethiopia with opportunities in Norway.
Location
Norway
Phone
+4797394674
Languages
English, Norwegian, Amharic
Technical Expertise
Programming Languages
Machine Learning & AI
AI Ethics & Society
Tools & Engineering
Languages
Current Technical Development
Expanding hands-on experience with Arduino, sensor and serial integration, and introductory ROS2 through a small mobile robot project.
Selected Technical Projects
Selected work across artificial intelligence, computer vision, software development and current technical interests.
AI-Assisted 3D Concrete Printing
Applied AI and computer-vision methods during my internship at Mechatronics Innovation Lab. Worked with camera recordings, image extraction and annotation, model development for identifying cement/concrete, testing, and geometric width analysis of printed structures.
Highlights
- β‘ Real-world technical system
- β‘ Model development & testing
- β‘ Geometric analysis
Underwater Fish Deformity Analysis
Computer-vision project using underwater-camera imagery and geometric image analysis to investigate visible deformities in fish and extract relevant structural characteristics.
Highlights
- β‘ Underwater imagery
- β‘ Visual analysis
- β‘ Geometric measurements
Reinforcement Learning Ping-Pong AI
Built a reinforcement-learning project in which an agent learns control behaviour through repeated interaction, actions and reward feedback in a ping-pong environment.
Highlights
- β‘ Reward-based learning
- β‘ Agent interaction
- β‘ Iterative learning
Generative Adversarial Networks (GANs)
Explored generative adversarial networks as part of my AI studies, working with the adversarial training concept of a generator and discriminator learning against each other to produce generated outputs.
Highlights
- β‘ Generative modelling
- β‘ Adversarial training
- β‘ Deep learning
Face Recognition Attendance Prototype
Developed a computer-vision prototype exploring face recognition for classroom attendance, while also considering privacy limitations and responsible use of biometric identification.
Highlights
- β‘ Face recognition
- β‘ Attendance concept
- β‘ Privacy considerations
Health Tracking Application β Current Project
Developing a health-tracking application focused on useful data tracking, clear user experience and responsible boundaries around sensitive health information and AI-assisted features.
Highlights
- β‘ Health data tracking
- β‘ User-focused design
- β‘ Privacy-aware development
Autonomous Robot & Sensor Integration β Current Project
Building a small mobile robotics platform while developing hands-on experience with Arduino, Python and ROS2. Currently integrating ultrasonic distance sensing, serial communication and software-based obstacle decisions, with planned progression toward ROS2 sensor publishing, robot control, mapping and autonomous navigation.
Highlights
- β‘ Ultrasonic sensing
- β‘ Hardwareβsoftware integration
- β‘ ROS2 progression planned
Face Mask Detection
Developed a computer-vision project for detecting whether a face is wearing a mask, applying image-based classification and visual detection concepts.
Highlights
- β‘ Visual detection
- β‘ Image classification
- β‘ Applied computer vision
Book Marketplace & Lending Platform
Built a software platform for books where users can browse, borrow, buy and sell titles, combining application development with user and inventory workflows.
Highlights
- β‘ Borrow, buy & sell workflows
- β‘ Book catalogue
- β‘ User-focused application
Professional Experience
AI Intern
Contributed to AI and machine-learning work for 3D concrete printing. Worked with camera recordings, image extraction and annotation, model development and testing, and geometric width analysis to support evaluation of printing quality and accuracy.
Founder & CEO
Developing an early-stage coffee import business connecting Ethiopian suppliers with the Norwegian market. Established a supplier relationship in Ethiopia and currently exploring roasting, packaging and distribution partnerships in Norway.
Online Tutor β Mathematics & Programming
Provide educational support in mathematics and programming, including Python and C#, adapting explanations to different student levels and technical backgrounds.
Additional Professional Experience
Additional roles alongside studies and technical development strengthened responsibility, adaptability, communication, organisation and the ability to work effectively with people in varied environments.
Education
Master's in Artificial Intelligence
Masterβs studies in artificial intelligence covering deep learning, computer vision, reinforcement learning, neural networks, research methodology and responsible AI.
Key Areas of Study:
Bachelor's in Software Engineering
Software engineering education with programming, software development and project-based work across multiple technologies and application areas.
Key Areas of Study:
International Baccalaureate Diploma
Rigorous international education program with emphasis on critical thinking, research skills, and global perspectives. Achieved high academic standards across multiple disciplines including mathematics, sciences, and languages.