Award-Winning AP Computer Science Tutors
serving Chandler, AZ

I'm excited to start sharing my love of learning with everyone else.

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.

I am a graduate of MIT. I received my Bachelor of Science in Mathematics with minors in Management Science and Ancient and Medieval Studies. Since graduation, I have started my PhD at Georgia Tech in Operations Research. Throughout my career I have TA'd several math and computer science courses at the college level. I have also taught at summer programs for gifted middle school and high school students. I am passionate about tutoring kids in math and science because I think that a strong foundation in STEM at an early age can set the tone for their future. In my spare time I like to engage in athletics, and was a Division 1 rower in college.

The AP Computer Science A exam leans heavily on array manipulation, recursive methods, and class design — topics that reward structured thinking over memorization. Lloyd's data science background at Rochester means he tackles these concepts daily, and he teaches students to trace through code by hand so they can predict output on free-response questions without second-guessing.

The AP Computer Science exam tests more than just writing code — it demands quick reasoning about recursion, sorting algorithms, and array manipulation under time pressure. Kirollos, a CS major at NYU, unpacks each of these topics by having students trace through code by hand before ever touching a keyboard, building the kind of fluency the exam rewards.

Robotics engineering at Penn means Mohamed writes code daily to solve real problems — sensor integration, control systems, data processing. He brings that applied perspective to AP Computer Science, teaching algorithmic thinking and program design principles through problems that show students why the concepts matter beyond the exam.

Computational problem-solving sits at the core of Srini's biophysics work at Brown, where modeling biological systems requires writing and debugging code regularly. He teaches AP Computer Science by grounding abstract ideas — algorithms, data representation, the internet's layered protocols — in concrete examples that make the material click on exam day.

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.

Triple-majoring in Computer Science, Mathematics, and Economics at IUPUI means Darren lives in Java and algorithmic thinking daily — not just for one class, but across disciplines that each demand rigorous logic and clean code. That cross-disciplinary perspective is especially useful for AP Computer Science A's free-response questions, where breaking a problem into smaller computational steps mirrors the same decomposition skills his math and econ coursework reinforces every week.

Studying computer science at UCF while also tutoring Java and C++ means Hassan is actively writing the same kind of code AP Computer Science A tests — from designing classes to tracing through recursive methods — on a near-daily basis. He's especially strong at walking through the logic of free-response problems step by step, making sure students understand how each line executes before moving on. Rated 5.0 by students.

I'm a sophomore at Vanderbilt University, majoring in Physics and Classics and minoring in Mathematics and Computer Science. I'm qualified to teach a wide variety of subjects, but prefer to focus on the fields I'm studying in school listed above; I have a passion for those areas that I want to share with everyone, no matter the education level or confidence. I believe that no one is "bad at math," but many people haven't been taught math and science concepts in a way that matches how they best learn. As a result, I try to tailor my teaching style to be the best it can be for each individual student. With regard to math and physics, I myself prefer a physical, graphical understanding of different concepts, so I do best at explaining what seemingly abstract concepts actually mean in the real world and how they act on a graph.

AP Computer Science isn't listed among Hannah's core subjects, but her physics degree required writing code to model systems, analyze data, and solve computational problems — skills that map directly onto the algorithmic thinking and logical reasoning the AP exam tests. She's strongest at teaching students to slow down and trace through control flow and conditionals methodically, the same systematic approach her physics training drilled into her.

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.