Award-Winning AP Computer Science Principles Tutors
serving St. Paul, MN

Cognitive science training at Stanford gave David an unusual lens for AP CSP — he studied how humans process information before studying how computers do, which means he can explain abstraction, algorithms, and data representation in terms that actually click. His experience teaching web and app development to high schoolers abroad sharpened his ability to walk students through the Create Task from planning to polished written response.

Cory studied both mathematics and computer science at the University of Minnesota, which means the algorithmic thinking and pseudocode reasoning at the heart of AP CSP come naturally — he can explain why an algorithm is efficient, not just that it works. He's especially useful for students who freeze up on the Create Task's written responses, where clearly articulating how abstraction and program design choices work matters more than the code itself.

With a strong background in STEM education and administration, I am passionate about helping students achieve academic success through personalized learning. My experience as a high school STEM teacher has allowed me to guide students in subjects such as artificial intelligence, machine learning, renewable energy technology, supply chain management, and manufacturing systems. Additionally, my administrative expertise has honed my ability to provide structured and efficient support to learners of all levels. I have earned certifications from the Massachusetts Institute of Technology, International Business Machines (IBM), and the New York Institute of Finance, dedicating years to making complex concepts more engaging and accessible. My tutoring style is adaptive, ensuring that each student's unique learning needs are met with patience and clarity. I believe in creating a supportive learning environment where students feel confident in tackling challenges and mastering new skills. While I tutor a broad range of subjects, I am particularly passionate about STEM-related fields, as they shape the future of technology and innovation. Beyond academics, I enjoy exploring advancements in artificial intelligence, renewable energy solutions, and automotive technology. My goal is to inspire curiosity, critical thinking, and a lifelong love of learning in every student I work with.

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.

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.

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.

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.

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.

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.

Nikitha earned her CS degree from Michigan writing actual code — which gives her a practical lens on AP CSP's more conceptual terrain, where students often stumble because the material feels too broad to pin down. She zeroes in on the impact-of-computing and cybersecurity threads that many tutors gloss over, tying them back to real design decisions she encountered in her own coursework. Rated 5.0 by students.

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!

Samuel's applied math training at Caltech intersects directly with AP CSP's algorithm and data units — he can trace how a sorting algorithm's efficiency scales or why lossy compression works because he uses that math daily. He also taught a discrete mathematics course through PACT, which means pseudocode logic and combinatorial reasoning come naturally when prepping students for both the multiple-choice exam and the Create Task.

Irene's PhD in Mathematics and Computer Science means she understands the computational thinking that underpins AP CSP — not just the vocabulary, but the discrete math and logic behind how algorithms work and why abstraction matters. She unpacks pseudocode problems by connecting them to the mathematical structures students rarely see in a survey course, which makes exam questions feel less like guesswork.

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.