Award-Winning AP Computer Science A Tutors
serving Ann Arbor, MI

Cornell's pre-med track doesn't typically include Java, and AP Computer Science A isn't Pratik's core teaching area — his strengths sit squarely in chemistry, biology, and standardized test prep. That said, the disciplined, logical problem-solving he brings to organic chemistry mechanisms and ACT Science (he scored a 35 composite) translates well to walking through basic programming logic and structured thinking when a student needs support.

I am a undergraduate freshman of the University of Michigan, studying business at the Ross School of Business. Working together with students and having a good time while seeing steady improvements has proven to provide me great joy. I believe that communication and relationship building is crucial for students to open up about their struggles and also for me to identify problems they don't realize they can improve on, so this is a key aspect of all of my lessons. During my free time, I enjoy playing sports or snacking on desserts while binge-watching Friends!

Princeton's operations research curriculum forced Jeff to build optimization models in Java and Python, so he knows firsthand how object-oriented principles like abstraction and encapsulation aren't just exam topics — they're tools for solving real problems efficiently. He leans on that applied experience when teaching AP CSA, especially for the algorithm-heavy free-response questions where students need to think about runtime and logic structure, not just correct output. Rated 4.8 by students.

Having built machine learning systems as a postdoctoral researcher at Princeton, Firas brings a depth of Java knowledge that extends well past the AP Computer Science A syllabus — which means he can explain not just how recursion or polymorphism works, but where these ideas show up in real software. He teaches students to read and trace code like a developer would, breaking down free-response problems into the same structured thinking he uses in his own research. Rated 5.0 by students.

Object-oriented programming trips students up when inheritance hierarchies and polymorphism go from simple examples to complex, layered problems. Srini tackles AP Computer Science A by connecting Java concepts like recursion, array manipulation, and class design to the computational modeling he does in his biophysics coursework at Brown. Rated 4.8 by students.

Dylan minors in computer science at Vanderbilt and codes in both Java and C++, so he understands how object-oriented principles like encapsulation and inheritance translate across languages — a perspective that sharpens how he teaches AP CSA's class design and polymorphism questions. His physics background also means he's used to building models from scratch, which maps naturally onto writing and debugging multi-class programs where every method needs a clear purpose.

The AP Computer Science A exam lives and dies on Java fundamentals: arrays, ArrayLists, loops, recursion, and object-oriented design with inheritance and polymorphism. David's daily immersion in computer science at UCLA — plus a software engineering internship at Adobe — means he can pinpoint exactly where a student's logic breaks down in a free-response problem and rebuild understanding from that point.

Fresh out of Duke's CS program and heading into a PhD at Michigan, Michelle writes Java the way the AP CSA exam expects — with careful attention to how classes interact, how recursion unwinds, and how data structures behave under the hood. She pairs that technical depth with a sociology-trained instinct for clear communication, breaking down abstract concepts like polymorphism and encapsulation into language that actually sticks. Rated 5.0 by students.

Computational engineering at UT Austin means Atharva lives in the overlap of math, CS, and engineering — writing code in Java, C++, Python, and MATLAB not as isolated exercises but as tools for solving real problems, which gives him a practical grip on the object-oriented thinking AP CSA demands. He's especially sharp at teaching students how to trace through recursive methods and design classes that actually make sense structurally, rather than just compiling. Rated 5.0 by students.

Having TA'd three courses at Duke — including a databases class and a computer networking class — Florence knows how to spot the gap between students who can read Java and students who can actually write it under exam conditions. She drills the hand-tracing and class-design skills that AP CSA's free-response section punishes you for skipping, drawing on the same object-oriented thinking she uses in her own CS coursework and software development internships. Rated 5.0 by students.

The AP Computer Science A exam tests Java fluency under pressure: recursion, array manipulation, object-oriented design, and the ability to trace code without a compiler. Mohamed's engineering coursework at Penn keeps him immersed in programming, and he breaks down each concept by writing small, testable programs that make abstract ideas concrete. He holds a 5.0 rating from students.

Grading assignments and running labs for Rice University's Fundamentals of Computer Engineering course means Omar sees exactly where students' code logic falls apart — missing base cases, confused reference types, sloppy loop boundaries. He brings that same diagnostic eye to AP CSA, teaching students to think through Java's object-oriented structure the way an engineer debugs a circuit: systematically, one connection at a time. Rated 5.0 by students.

Studying computer science at Cornell means Mohammed lives in Java — it's the language his program uses to teach data structures, algorithms, and the object-oriented thinking that AP CSA tests on every free-response question. He breaks down topics like array manipulation and recursive tracing by showing students how to read code the way he learned to: line by line, predicting exactly what happens at each step before running anything.

Pursuing a CS degree at UNC Chapel Hill means Jack isn't just studying Java in theory — he's building with it in coursework and projects where understanding how objects, arrays, and control structures interact is non-negotiable. He brings that hands-on coding fluency to AP CSA's trickiest areas, like debugging multi-method programs and writing clean solutions under the time pressure of free-response questions. Rated 4.7 by students.