01
Computer Vision / Academic Project
An end-to-end RGB-D perception pipeline that detects and tracks people, hands, and objects, localises them in 3D, and infers spatial relationships to generate a live scene graph.
02
Machine Learning / Personal Project
An interactive language-detection app that identifies short texts across eight languages, including Arabic, Swedish, and Chinese. It uses character n-gram features with feature hashing and includes both scikit-learn and PyTorch implementations for real-time prediction.
Professional practice
Doro AB
Testing accessible mobile devices and related products in a professional QA environment. My work includes exploratory and regression testing, software-update validation, issue reproduction, technical reporting, and collaboration with test leaders and development teams to improve product reliability and usability.
I am a Computer Science and Engineering student at Lund University, interested in the space where intelligent systems meet real human needs. My work has taken me from machine learning and computer vision to real-time pipelines, embedded systems, and software quality. I enjoy understanding how complex systems behave, turning ideas into working implementations, and improving them until they become reliable and useful.
The technologies and ideas I enjoy exploring, building, and continuously learning.
01
Focus
Building intelligent systems that learn from data and assist people in making better decisions.
02
Focus
Teaching machines to understand visual information through perception, recognition, and spatial reasoning.
03
Focus
Designing software that is reliable, maintainable, and built to solve real problems.
04
Focus
Creating systems that process information efficiently while meeting demanding performance constraints.
05
Focus
Bridging emerging technologies with practical solutions that improve everyday life.
Lund University
Lund University (LTH)
Building a broad foundation across software engineering, intelligent systems, computer vision, machine learning, security, and computer systems, with a strong focus on turning technical concepts into working implementations.
Curiosity doesn’t stop when I close my editor. Whether I’m exploring psychology, rebuilding a computer, or reading science fiction, I’m driven by the same desire: to understand how people, systems, and ideas work.
I don’t collect information. I build understanding.
MINDSET 01
I am still developing the habit of reading, but I approach it with purpose. I read to expand my imagination, better understand myself and other people, and continue becoming a better person.
Book Library
CURRENTLY READINGLearning Process
MINDSET 02
Building computers satisfies my curiosity about how complex systems come together. I enjoy researching components, optimizing performance, troubleshooting problems, and understanding why something works or why it breaks.
Planning a new case rebuild.
MINDSET 03
I have trained for around eight years, beginning with weightlifting and gradually moving toward calisthenics. Training reinforces a principle I already bring to learning and study: meaningful progress comes from discipline, patience, and consistently showing up.
Long-term practice
8 Years of Training
Training began with weightlifting in 2018, gradually shifted toward more bodyweight practice, and is now focused on calisthenics in 2026.
Progress isn't built in a single session. It's built by showing up again and again.
I'm most interested in opportunities where thoughtful engineering meets real human problems. Whether that is an internship, thesis project, research collaboration, or simply an interesting conversation, I'd love to connect.
Ibrahim Aljuboori
MSc in Computer Science and Engineering
Lund University
