Computer science tutoring
From big-O analysis to data structures and system design, I help you connect theory to real coding so assignments and exams make sense.
AI can produce a working balanced tree in seconds. It cannot sit in your midterm and justify why the complexity is logarithmic. Theory is where AI dependence shows up first, because these courses grade your reasoning, not your output.
Send your course + topics + deadline and I’ll reply with next steps.
If you qualify, you can apply for a free 7-day trial for the mentorship track.
You can get through a coding assignment with AI and never notice a gap. Algorithms, data structures, and complexity are different. Those courses grade the thinking, and the thinking is the one thing you cannot paste in.
An assignment asks for working code. A midterm asks why one approach is O(n log n) and the other is not. AI answers the first question well and is not in the room for the second.
You can paste a sorting implementation. You cannot paste a recurrence relation you solved, a loop invariant you argued, or a call stack you traced on paper.
Ask about amortized analysis, pointer arithmetic, or an unusual edge case and you will sometimes get a fluent answer that is simply incorrect. If you cannot check it, you cannot safely use it.
Data structures sits under algorithms, which sits under systems, upper year courses, and every technical interview you will ever do. A gap here does not stay in one course.
So we work the other way around. You trace it, draw it, and explain it first, and AI is used for practice questions and feedback rather than finished answers.
Tell me your course, your deadline, and how much you are leaning on AI. I'll reply with the fastest next step. First hour is free.
Be honest about the AI part. None of this makes you a bad student, it makes you a student in 2026, and it changes what I recommend.