Award-Winning AP Computer Science Principles Tutors
serving Nashville, TN

Kerr is currently building iOS apps and games as a CS major at Vanderbilt, which means the programming and design thinking in AP CSP's Create Task mirrors what he does every week. He teaches pseudocode logic and algorithm design by connecting them to real development decisions — like why a particular data structure speeds up a game or how abstraction keeps an app's codebase manageable. Rated 4.9 by students.

Coming from Thomas Jefferson High School for Science and Technology — one of the most competitive STEM programs in the country — and now studying computer engineering at Vanderbilt, Rhamy brings real depth to the algorithms and abstraction concepts that AP CSP tests. He digs into how programming logic actually maps to hardware, which gives students an intuitive grasp of topics like data representation and protocol layers that most review guides gloss over. Rated 5.0 by students.

Daniel's electrical engineering coursework at Vanderbilt means he writes actual code in Java and works with hardware-software interfaces daily — background that makes the pseudocode and abstraction concepts in AP CSP click faster for students. He zeroes in on algorithm design and data representation, breaking down how binary encoding and compression work at the circuit level so the logic sticks. His 36 ACT composite speaks to the kind of structured, analytical thinking he brings to Create Task coaching and exam prep.

Robotics engineering at WPI means Matthew writes code that has to actually control physical systems — sensors, motors, feedback loops — which gives him a practical lens on AP CSP's units on algorithms, abstraction, and data representation. He teaches the pseudocode reasoning behind exam questions by tying each concept back to how real machines process information. Rated 5.0 by students.

Ronit studies computer science at Yale and knows AP CSP's curriculum from the student side — which Big Ideas actually trip people up on the multiple-choice and where the Create Task rubric quietly punishes vague written responses. He digs into the explanatory writing piece that most students underestimate, teaching how to describe an algorithm's purpose and trace through pseudocode with the precision the exam expects. Rated 5.0 by students.

Derek scored 5s on both AP Computer Science A and AP Physics C while taking 16 APs at the high school level, so he knows how to manage the breadth of a course like AP CSP without letting any Big Idea slip through the cracks. Now studying CS at Harvard with an applied math minor, he digs into the algorithmic thinking and pseudocode reasoning that drive the multiple-choice section — and coaches students through the Create Task with the structured planning habits that come from building real software projects.

John's CS degree plus years coding in Java, C++, and SQL means he can ground AP CSP's more abstract units — like how the internet actually moves data or why abstraction matters in program design — in real programming experience. He also brings a finance MBA perspective to the data analysis and societal impact questions, giving students a practical lens that makes exam responses sharper and more specific.

Caltech's CS curriculum drills computational thinking at a level that makes AP CSP's big ideas — abstraction, algorithm design, data representation — feel like familiar territory for Brian. He teaches students to reason through pseudocode and explain their design choices in plain language, which is exactly what the Create Task and the multiple-choice exam reward. His 1580 SAT speaks to the kind of precise, analytical communication that carries across disciplines.

Studying neuroscience at Rice means Brett regularly writes code to analyze brain imaging data and model biological systems — practical computing experience that maps directly onto AP CSP's emphasis on data analysis, algorithms, and the real-world impact of technology. He teaches the pseudocode logic and abstraction concepts the exam tests by grounding them in problems students can actually picture. Rated 5.0 by students.

Most AP CSP students underestimate how much the exam leans on reading and tracing pseudocode under time pressure — it's a skill that requires practice, not just familiarity with vocabulary. Katherine programs in C and C++ as part of her Computer Science studies at Swarthmore, so she can translate those abstract pseudocode snippets into real logic students can step through and understand. She also brings strong writing chops to the Create Task's written response, where clear explanation of an algorithm often matters more than the code itself.

I am a current student at the University of Michigan. I am studying molecular biology in the school of literature, science, and the arts. I will graduate in 2025. I am most passionate about teaching SAT test material, because that was an area that I focused on and improved my own score to reach my goals. I am excited to teach both the english and the math sections. I teach using extensive practice problems and practice tests, because that is what helped me learn best and improve my relevant skills. In my spare time I like to workout, swim at the beach, and surf. I would love to work with you to achieve your goals!

Joshua scored a 5 on the AP Computer Science A exam, which means the Principles course's pseudocode and algorithm questions draw on knowledge he's already internalized at a deeper level. He teaches the Create Task as a scaled-down version of real software development — planning, building, and documenting — using his hands-on experience in Java, Python, and JavaScript to show students what clean, explainable code actually looks like.

Manideep's day-to-day at Northwestern splits between biology coursework and programming in Python for data analysis, which maps directly onto AP CSP's emphasis on how computing intersects with other fields. He teaches the algorithmic thinking and data representation concepts by tying them to problems he's actually solved — like modeling biological datasets — so the exam's Big Ideas feel grounded rather than abstract. Rated 5.0 by students.

Ritesh's physics training at Cornell actually maps neatly onto AP CSP — both demand thinking about systems in layers, whether that's abstraction in computing or modeling forces in mechanics. He teaches the pseudocode and algorithm-tracing portions by treating them like physics problem-solving: break the system into parts, track what changes at each step, and verify the output makes sense.

Two years working in AI and machine learning gave Brandon a firsthand sense of how the Big Ideas in AP CSP — data representation, algorithmic efficiency, the societal implications of computing — play out in industry, especially around bias in datasets and the ethics of automation. He teaches the Internet and cybersecurity portions of the course through the lens of systems he's actually built, and his CS master's work at RIT keeps him sharp on the pseudocode reasoning the exam demands. Rated 4.9 by students.