Messy data in; reliable systems out.

I'm a software and data engineer from Assiut, Egypt, now based in Kigali, Rwanda. I like the unglamorous middle of the stack: scrapers, validation gates, and reconciliation jobs. The satisfying part is when a manual process becomes something the team no longer has to worry about.

I do not trust an LLM-assisted pipeline until hard rules check every field it writes. A scraped dataset has to be validated and deduplicated. A research result has to be reproducible by someone who was not in the room. Those habits followed me through internships in three countries and into a peer-reviewed study that helps educators use educational data mining themselves.

That work started at a STEM school in Egypt. I joined a robotics team that won the national World Robot Challenge final, and I co-founded a student initiative that helped younger students build their own projects. The tools have changed. I still like taking a chaotic process and making it legible.