B.Sc. Software Engineering · Potsdam
I'm Saad, a third-semester software engineering student at the University of Europe for Applied Sciences in Potsdam. I build working products in Python, explain them in plain language, and keep the team in a good mood while we ship.
About
Python is home base. If I can sketch an idea, I can usually ship it, and I scored 92/100 in Programming doing exactly that. Java covers my backend work, C++ my parallel programming, and machine learning is where the two things I enjoy most (building and figuring things out) overlap.
The part that doesn't show up in a repo: I like presenting, and I've gotten good at reading a room. Employability: Business English (91/100) turned out to be less about English and more about handling people well. Group projects go smoother when someone actually cares about the vibe. That's usually me.
When Computer Architecture lectures didn't click, I worked through the material myself, from logic gates up. Finished at 85/100.
Statistics was never going to be my favorite subject. I studied like it was, and walked away with 91/100.
I can walk a non-technical person through complex code without losing them. It's made me the default demo-giver in every group project so far.
Technical arsenal
Tools listed in order of how often they save the day.
My strongest tool by a distance. Frontends, backends, scripts, client–server apps: whatever the idea needs, Python gets it standing. Clean enough that teammates can pick up where I left off.
Purpose-built models, from a healthcare classifier (featured below) to smaller ones made purely for fun. Machine Learning & Smart Systems: 96/100. Artificial Intelligence: 91/100.
Java for backend services, written with full effort and easy handovers in mind. C++ for parallel programming, where I pay attention to the logic and what it costs at runtime.
Comfortable filtering and shaping large datasets until they answer a real question. Trained in quantitative and qualitative methods (91/100), so my reports come with the data to back them up.
Featured projects
Course projects, treated like real products.
A full web platform for running a gym: member accounts, plans, and day-to-day operations. Frontend and backend written in Python, talking to a live server, with member-facing touches like workout plan views and voting on class times.
Team build from Software Engineering I (96/100): a tool restaurant managers use to organize staff and run training. We had one rule for every design decision: a shift lead should learn it in one sitting, no manual.
A machine learning model that categorizes patient records by smoking status and age group. Accuracy mattered, and so did explainability: it's built so someone outside ML can follow why it decides what it decides.
Business acumen
Software gets built inside companies. I've studied how those work too.
Running lean: tight scoping, fast decisions, and keeping a small team moving without burning anyone out.
How larger organizations actually run: delegation, office functions, and what makes a team gel.
Reading market needs and turning them into presentations people act on.