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He is one of those students whose work makes you stop and look. His Hotel Management System was not even assigned, he built it alone with C#, .NET and MySQL just because he wanted to make something real, most undergrads do not do that. He explains technical stuff clearly in English as well, and that kind of communication helps a team a lot more than people think.

What I remember about Tariq is he kept learning after exams were over. He would come to office hours and ask about ML architectures and cloud deployment, stuff that was not even in the course. He did Stanford's machine learning certification by himself and his TensorFlow digit classifier showed he got the math behind it, not only the API calls. You do not see that depth often in undergrad work.

He kept coming back to our Industry 4.0 Research Center for three terms even though he did not have to. Every term we gave him bigger tasks, at first literature reviews, then helping design experiments, then presenting results to the group. A lot of undergrads just use research for their CV. Tariq actually cared about it.

Tariq joined our Industry 4.0 Research Center in his second year, which is earlier than most students do. He just got on with the boring work, literature reviews, cleaning data, running the same experiments again. His graduation project proved what we already knew, he does not cut corners. For me he is up there with the best students I have supervised.

I have mentored a lot of interns and Tariq picked things up quicker than anyone. By week three he was writing React components we could actually ship and asking good questions about our design choices. He came second in our internal coding competition too, honestly that did not surprise me. Just look at his GitHub, he finishes what he starts.

He is one of those students whose work makes you stop and look. His Hotel Management System was not even assigned, he built it alone with C#, .NET and MySQL just because he wanted to make something real, most undergrads do not do that. He explains technical stuff clearly in English as well, and that kind of communication helps a team a lot more than people think.

What I remember about Tariq is he kept learning after exams were over. He would come to office hours and ask about ML architectures and cloud deployment, stuff that was not even in the course. He did Stanford's machine learning certification by himself and his TensorFlow digit classifier showed he got the math behind it, not only the API calls. You do not see that depth often in undergrad work.

He kept coming back to our Industry 4.0 Research Center for three terms even though he did not have to. Every term we gave him bigger tasks, at first literature reviews, then helping design experiments, then presenting results to the group. A lot of undergrads just use research for their CV. Tariq actually cared about it.

Tariq joined our Industry 4.0 Research Center in his second year, which is earlier than most students do. He just got on with the boring work, literature reviews, cleaning data, running the same experiments again. His graduation project proved what we already knew, he does not cut corners. For me he is up there with the best students I have supervised.

I have mentored a lot of interns and Tariq picked things up quicker than anyone. By week three he was writing React components we could actually ship and asking good questions about our design choices. He came second in our internal coding competition too, honestly that did not surprise me. Just look at his GitHub, he finishes what he starts.

He is one of those students whose work makes you stop and look. His Hotel Management System was not even assigned, he built it alone with C#, .NET and MySQL just because he wanted to make something real, most undergrads do not do that. He explains technical stuff clearly in English as well, and that kind of communication helps a team a lot more than people think.