Award-Winning AP Computer Science Principles Tutors
serving Cincinnati, 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.

Pratik doesn't come from a traditional CS background, but his premed training at Cornell — where he regularly works with data sets, statistical models, and logical reasoning — maps directly onto the computational thinking AP CSP tests. He's especially effective at breaking down the data analysis and algorithm units, translating abstract pseudocode into the kind of step-by-step problem solving he uses in biology and chemistry every day.

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.

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.

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.

Susanna codes in Java, Python, and MATLAB — but for AP CSP, she shifts gears from syntax to the bigger questions: how does data move across the internet, why does abstraction matter, and what makes an algorithm efficient? Her physics training at UC Berkeley means she's used to translating messy real-world problems into clean logical models, which is exactly the skill the Create Task and exam reward.

AP CSP covers a surprisingly wide range — the internet, data analysis, cybersecurity, and the societal impacts of computing — without going deep into any single programming language. Samuel connects these broad topics back to concrete examples from his own CS studies at Florida Tech, making the create task and multiple-choice exam feel far more manageable. Rated 5.0 by students.

Software engineering internships at Apple and Microsoft gave Jerry a firsthand view of how the concepts in AP CSP — abstraction, algorithm design, data representation — actually play out in production code. He uses that industry context to make the Create Performance Task feel like a real development project rather than a classroom exercise, which sharpens both the programming and the written-response components. Rated 4.9 by students.

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.

Teaching discrete math at Penn means Keenan spends his weeks translating abstract computational thinking into language undergraduates actually absorb — a skill that maps directly onto AP CSP's pseudocode reasoning and algorithm analysis questions. His philosophy degree also gives him an unusual edge on the exam's societal-impact questions, where students need to construct clear written arguments about data privacy, bias in algorithms, and computing ethics. Rated 5.0 by students.

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.

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.

Having TA'd computer science courses at MIT and now pursuing a PhD in Operations Research at Georgia Tech, Isabella brings real programming fluency — particularly in Python — to the algorithmic thinking and data analysis threads that run through AP CSP. She digs into how pseudocode on the exam maps to actual code students write for the Create Task, making the connection between abstract logic and working programs click. Rated 5.0 by students.