Award-Winning AP Computer Science Tutors
serving Charlotte, NC

I am currently a student at The University of North Carolina at Chapel Hill pursuing a degree in Computer Science. I not only am incredibly passionate about programming and computer science, but about math and learning in general. I have experience teaching people young and old about computers and the way the work in depth. I love meeting new people and finding out the way they think so I can better serve them as a teacher.

I am currently a physics major at the University of North Carolina at Chapel Hill. I have previously tutored at Mathnasium, teaching primarily middle school students with some elementary school students and some high school students. I primarily teach physics and math. I am very passionate about teaching, because I think every student has a different perspective. It is truly amazing how different students tend to think compared to adults, often displaying immense amounts of creativity, enthusiasm, and courage that most people could only dream of. It is important not to underestimate these qualities in young scholars, which is why I make it my goal to personally understand the students that I teach.

I am a rising senior at Duke University. I major in Computer Science and am also getting a minor in Physics. I have had experience tutoring/teaching as a teaching assistant for three classes: Intro to Databases, Electricity and Magnetism (for engineers), and Computer Network Architecture. I have had industry experience in software development as an intern for IBM and a cybersecurity analyst for TIAA. Outside of school/work, I play the piano and train with the Duke Taekwondo Club. I have a strong background in computer science, physics, and math, but I love learning about and helping students with a wide variety of subjects!

I am a Computer Science major at Duke University passionate about encouraging others who are learning CS so that they may come to understand the powerful, real-world impact that programming can have. As someone who has a strong background in tutoring, including, but not limited to, the chemistry tutoring club I co-founded in high school and my current involvement in the Duke Music Tutors organization, I am confident in my ability to tutor in a way that is focused, individualized, and memorable.

I am a current undergraduate student at Duke University's Pratt School of Engineering. I am pursuing a bachelor of science in engineering in mechanical engineering, a minor in computer science, and a certificate in innovation and entrepreneurship. As an engineer, I believe one of my greatest strengths is breaking down complex ideas into manageable steps that are easy to follow. I have an abundance of STEM tutoring experience through my high school's National Honors Society chapter and as a freelance tutor. Additionally, I have experience working with children as an instructor for Techsplorer's engineering camps/workshops and as a member of the YMCA Leader's Club. The subjects I enjoy teaching are Algebra, Geometry, Calculus, Statistics, Trigonometry, Physics, and SAT/ACT Math and Science Prep. I believe that as a passionate younger college student, I am able to connect with students more effectively, as I was in their shoes not too long ago! Outside of school and teaching, I like to play Ultimate Frisbee, spend time with my dog, and work on personal engineering projects.

I am a graduate student at George Mason University studying Computer Science. I also graduated at Vanderbilt University, with Bachelors Degrees in Computer Science, Mathematics, and Philosophy. When a student does not understand a topic or concept, I believe the best way to teach it is to meet students where they are at, providing individually catered feedback, and exploring the aspects of a student's weaknesses, finding a way to explain the concept in a way that resonates with and makes sense to the student. I am most familiar with tutoring for the SAT, where I have generally increased scores by 120-300 points.

Northeastern's co-op model means Charles isn't just learning computer science in a classroom — he's cycling between coursework and real-world application, which keeps AP Computer Science A topics like object-oriented design and algorithm tracing grounded in how software actually gets built. His 1580 SAT speaks to the kind of precise, methodical reasoning that makes the difference on Java free-response questions, where one misplaced semicolon or off-by-one error can unravel an otherwise solid solution.

Between physics problem sets and computer science coursework at Cornell, Joel writes Java and Python to solve real computational problems — not just classroom exercises. That dual perspective is especially useful for AP Computer Science A topics like algorithm design and object-oriented programming, where understanding the logic behind the code matters as much as getting it to compile. His 35 ACT reflects the kind of precise, systematic thinking that translates directly to tracing through free-response questions.

Most AP Computer Science A students get tripped up not on syntax but on thinking through what their code actually does — tracing a loop iteration by iteration or figuring out why a method returns the wrong value. Dennis teaches across Java, JavaScript, and web development, which means he can explain object-oriented concepts from multiple angles and show students how the same logical patterns appear across languages. Rated 5.0 by students.

Columbia's CS program has Julian writing Java and working with object-oriented design patterns well beyond the AP level, which means he can zoom in on exactly the pieces — like loop tracing, array logic, or class construction — that the exam actually tests. He's spent enough time in group study sessions watching classmates struggle with gaps in foundational concepts to know that solid understanding of how each line of code executes matters more than memorizing syntax.

As experienced and passionated educator with a Bachelor's degree in Computer Science from Rice University, I am passionate about empowering students to achieve their academic goals. With over 3 years of tutoring experience in subjects such as AP Computer Science A, Machine Learning, and SAT Math, I adapt to different learning styles and create a supportive learning environment. My teaching philosophy centers on personalized instruction, where I connect with each student to understand their unique learning styles and challenges. I take pride in guiding students through the complexities of computer science and college application essays, equipping them with the skills they need for future success. Outside of tutoring, I enjoy exploring new technologies and engaging in coding projects to improve my teaching approach.

I'm a recent graduate of the California Institute of Technology in Economics and Computer Science. I was also accepted at Harvard, Princeton, MIT, and Stanford. I have a broad range of interests spanning science, math, engineering, social science, the humanities, the arts, and athletics (I also played on the Caltech basketball team). My background allows me to tutor general college prep, especially the SAT, ACT and the GRE. I love to teach analytical thinking, ranging from advanced Math and Physics to strategies for understanding literature and developing arguments.

Jett codes in Java, Python, and C as part of his electrical and computer engineering program at UT Austin, so the AP Computer Science A curriculum — from writing classes to implementing algorithms — overlaps with work he's already doing for his degree. Where he especially shines is connecting programming logic to the underlying hardware, explaining how a for-loop or recursive call actually executes at the machine level, which makes debugging and tracing problems far less mysterious. Rated 5.0 by students.

Two years as a Java teaching assistant at Illinois Institute of Technology means Muntaser has watched hundreds of students wrestle with the exact concepts AP Computer Science A tests — inheritance, loop tracing, array logic — and learned how to explain them in ways that actually land. His computer engineering degree and professional software engineering work add a layer most tutors can't: he knows how these OOP principles play out in real codebases, not just on exam day.

Ryan studies computer science at UVA and knows the AP Computer Science curriculum inside out — from object-oriented design and recursion to array manipulation and sorting algorithms in Java. He teaches students to think through problems before writing a single line of code, building the kind of algorithmic reasoning that earns 5s on the exam. Rated 5.0 by students.

Recursion, sorting algorithms, and object-oriented design aren't just AP exam topics for Sebastian — they're concepts he uses daily in his computer science coursework at UCF. He teaches students to trace through code by hand before running it, building the kind of debugging intuition that turns a 3 into a 5. Free-response questions get special attention since that's where most points are left on the table.

Engineering coursework trains you to think in systems — breaking complex problems into modular, testable pieces — which is exactly the reasoning AP Computer Science A demands when students write classes, trace through nested loops, or debug recursive methods. Wesley's biomedical engineering degree and research in biophysical chemistry mean he's been coding to solve real scientific problems, not just completing textbook exercises. That applied perspective makes abstract Java concepts feel purposeful rather than arbitrary.

The AP Computer Science exam tests both coding fluency and the ability to trace through unfamiliar code under time pressure. Shlomo tackles both sides — drilling array manipulation, recursion, and ArrayList operations while also teaching the test-taking strategy that keeps students from burning time on free-response questions. His math background is especially useful for the algorithm-analysis problems that blend logic with computation.