Award-Winning AP Computer Science Principles Tutors
serving Norfolk, VA

I have been coaching students to their best performance in math for seven years. I am fluent in all levels of math, primary, secondary, and freshman/sophomore university level. I am also fluent with the mathematics which one may find on the ACT, SAT, GRE, ASVAB, CLEP test and most standardized test. My background in Engineering also gives me a level of confidence with computer science and general sciences such as physics and chemistry. I have over a year of study in each myself. Overall, I have had much success working with students in various languages and levels of computer programming.

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.

AP CSP's exam leans heavily on the impact-of-computing and internet-infrastructure Big Ideas that many tutors rush past in favor of pseudocode drills. Alston's CS coursework at UVA gives him the technical grounding to teach those systems-level topics thoroughly, while his background in writing and essay editing makes him a strong coach for the Create Task's written response — the piece most students underestimate until it costs them points.

Cindy doesn't come from a traditional CS background, but her 36 ACT and analytical training as a Harvard English student give her a sharp edge on AP CSP's most underestimated challenge: the written responses. The Create Task and exam both reward students who can explain computational ideas — abstraction, algorithms, data patterns — in clear, precise language, and that's exactly the skill set she brings to every session.

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.

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.

Computer engineering at Georgia Tech means Yash lives in the space where hardware meets software — exactly the kind of systems-level thinking that makes AP CSP's Big Ideas about the internet, abstraction, and data representation feel intuitive rather than abstract. He teaches students to trace pseudocode and reason through algorithm questions the way an engineer debugs a circuit: step by step, with nothing assumed. Rated 5.0 by students.

Electrical engineering taught Jake to think in systems — how signals move, how data gets encoded, how layers of abstraction stack to make hardware and software talk to each other. That mindset maps directly onto AP CSP's trickiest material, from binary representation to internet protocols to algorithm tracing in pseudocode. He also teaches across five programming languages, so the Create Task's coding component comes naturally.

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.

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.

I am graduated from Penn State University in Industrial Engineering in 2017. I've tutored ever since I was in high school, and I love helping people! I like to help my students understand math (and other topics) instead of just doing it blindly. My goal is to help my students improve their math (and other topics) and build skills that will help them find learning easier in the future! Fun fact, I used to work for Disney and I like to salsa dance!

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.

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.