I am EBIL PAUL - first of my name
- 🔭 I’m currently working with backend technologies
- 🌱 Acquired a Diploma in computer science at Uganda Institute of Information and Communications Technology
- 💬 Ask me about Backend development and Computer Vision
- 📫 How to reach me +256-760-852-958 email: ebilpaul06@gmail.com
- ⚡ Fun fact: An image is worth a thousand words
Computer Scientist (Backend Engineer / Cloud-Native Enthusiast)
I’m a computer scientist and backend engineer passionate about building reliable, scalable systems — with a strong interest in computer vision and its real-world applications. Though still learning, I actively build with tools like FastAPI (Python) and GoFiber (Go), and I enjoy solving problems with clean, backend-first architecture.
I’m deeply inspired by the open-source community and love working with cloud-native technologies like Docker and yet to explore Kubernetes to containerize, scale, and deploy backend services the right way.
Whether it's a university project or a personal initiative, I approach every build like a professional — designing, coding, breaking, and fixing until it works.
This GitHub is a reflection of my journey: learning in public, building with purpose, and always leveling up.
Explore my collection of hands-on computer vision projects built with PyTorch, OpenCV, and modern deep learning tools.
These notebooks document my learning journey and are inspired by open tutorials and research papers.
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I started my coding journey as a curious computer science student, fascinated by how real-world systems are built — not just the code, but the infrastructure, architecture, and tools behind them.
I naturally gravitated toward backend development, building APIs and architecting systems using tools like FastAPI and GoFiber. As I gained experience, I developed a strong interest in cloud-native technologies — not because I wanted to rely on cloud platforms, but because I wanted to learn how to host and manage my own applications locally or on-premises. That drive for independence and deep understanding continues to shape how I build.
Another major curiosity of mine is computer vision — the idea that machines can see, interpret, and interact with the world just like we do. To me, this is more than just technology; it’s personal. My parents always hoped I would become a doctor. While I may not wear a white coat, I’ve come to realize that with computer vision, I can still solve problems in medicine, healthcare, and diagnostics — with code. I will be a doctor — just using a different set of tools.
Even though I’m still a student of computer science, I approach every project with a builder’s mindset: learn deeply, solve real problems, and keep growing. This GitHub is where I share that journey — openly, and in motion.
And I’m just getting started.