Award-Winning AP Computer Science Principles Tutors
serving Canton, OH

I am a recent graduate with a master's in electrical engineering from Case Western Reserve University. I won the Bill and Melinda Gates Millennium Scholarship which covers full tuition up to Ph.D. I was on the Dean's List for three consecutive years. Additionally, I won the OZY Media Genius Award in 2015 to work on high-temperature superconductors. I currently work as a Technology Analyst at Accenture. I am also seriously considering whether I should go for a Ph.D. or not.

Most AP CSP students get tripped up not by the technical content but by the exam's pseudocode — reading and tracing algorithms written in a language nobody actually codes in. Maxwell's math and physics training means he thinks naturally in abstractions and logical structures, so he can teach students to parse those pseudocode questions the way he'd parse a proof: step by step, tracking what changes and why. Rated 5.0 by students.

Most AP CSP tutors lean on pseudocode drills, but Samuel's computer science engineering coursework at Ohio State means he can pull from real Java and MATLAB projects to illustrate why concepts like data abstraction and algorithm efficiency actually matter beyond the exam. His math minor also sharpens the logic side — binary arithmetic, Boolean expressions, and the kind of structured reasoning that makes multiple-choice questions feel predictable instead of tricky.

Sery is currently earning a Computer Science degree at Ohio State, where courses in C and C++ give her daily practice with the kind of logical thinking AP CSP tests through its pseudocode and algorithm questions. What sets her apart is her background in writing and literature tutoring — she coaches students to craft Create Task written responses that clearly articulate how their program uses abstraction and manages complexity, which is where most points are quietly lost.

Statistics training builds exactly the kind of thinking AP CSP actually tests — reading data representations, reasoning through algorithms on paper, and understanding how information gets encoded and compressed. Kyle applies that quantitative lens to the course's Big Ideas, turning abstract pseudocode traces and binary problems into structured, solvable puzzles. Rated 4.9 by students.

Evan's game development work in Unity — building systems that rely on abstraction layers, event-driven logic, and efficient data handling — maps directly onto the computational thinking AP CSP tests. He uses his own projects to show students how pseudocode translates into real design decisions, which makes the Create Task feel like building something instead of checking rubric boxes. His 34 ACT reflects the kind of cross-disciplinary reasoning this exam rewards.

Giovanni's dual training in mathematics and computer science at Emory means he can teach the algorithmic thinking in AP CSP from both a coding perspective and a pure logic perspective — particularly useful when students hit pseudocode trace problems or need to reason through abstraction layers on the exam. He also brings hands-on experience in Java and Python, which gives him a practical toolkit for coaching students through the Create Task from initial design to final written response. 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.

Payton is a Computer Science major at Texas A&M who codes in Python, C++, and Haskell — but AP CSP's exam cares more about pseudocode reasoning and explaining computational ideas in plain English than writing compilable programs. She teaches students to bridge that gap, translating real programming instincts into the kind of clear, structured responses the Create Task and multiple-choice questions actually reward. Rated 4.9 by students.

Nicholas codes in Java, Python, JavaScript, C#, and HTML/CSS daily — so when AP CSP asks students to reason about algorithms or data representation in pseudocode, he can instantly translate those abstractions into real programming scenarios that make the logic click. His Penn State CS degree also means he understands the networking and cybersecurity concepts woven through the course at a technical level most high schoolers never see. Rated 5.0 by students.

Having tutored everything from basic programming constructs to finite automata and computational theory, Andrew brings unusual depth to a course most students treat as surface-level. He digs into the algorithmic thinking and pseudocode reasoning behind AP CSP's exam questions, showing students how concepts like abstraction and data representation connect to the real CS pipeline he studied in his degree. Rated 5.0 by students.

Sasha's computer engineering degree means the hardware side of AP CSP — binary encoding, logic gates, how data physically moves through networks — isn't abstract theory but something she's built circuits around. She uses that hands-on perspective to make the course's Big Ideas feel grounded, especially when students hit the units on data representation and internet protocols that tend to blur together without a concrete mental model. Rated 4.9 by students.

Lance studied both theoretical mathematics and computer science as an undergraduate before entering medical school, which means he's written real code in Java, C, and SQL — not just traced pseudocode on a worksheet. That practical depth lets him teach AP CSP's algorithmic thinking and abstraction concepts through actual programming logic, giving students a clearer mental model when they hit the Create Task or encounter unfamiliar algorithm-tracing questions on the exam.

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.

Currently studying Computer Science at UCLA's Engineering School with a software engineering internship at Adobe under his belt, David knows how the abstractions taught in AP CSP — algorithms, data representation, internet protocols — actually play out in production code. He uses that industry context to make pseudocode tracing and the Create Task feel purposeful rather than academic. Rated 4.8 by students.

Daniel's biomedical engineering coursework at Rice means he writes algorithms to process real biological data — exactly the kind of computational thinking AP CSP tests through its Big Ideas on data analysis and abstraction. He brings that applied perspective to the Create Task, coaching students to plan, build, and document projects that hit every rubric criterion without overcomplicating the code.