Award-Winning AP Computer Science Principles Tutors
serving Gilbert, AZ

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.

I'm always up for the challenge of changing my methods of instruction and breaking down topics to foster a deeper understanding of a subject. On a different note, I generally spend my spare time playing lacrosse or running outdoors when possible. I also play the violin with a school quartet, and teach lessons to beginning students working through the Suzuki program.

Matthew codes in Java, C++, Python, and JavaScript — so when AP CSP asks students to reason about algorithms or explain how a program works in pseudocode, he can ground those abstractions in actual programming logic most students haven't seen yet. His Harvard math and CS coursework also means he's sharp on the data analysis and binary representation questions that trip up students who only studied the vocabulary. Rated 4.9 by students.

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.

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.

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.

Firas's machine learning research at Princeton means he can show students what abstraction, algorithms, and data representation actually look like in practice — not just as AP exam vocabulary but as tools working scientists use daily. He's particularly sharp at teaching the pseudocode reasoning and written response skills the Create Task demands, since his PhD work required translating complex computational ideas into clear, precise language. Rated 5.0 by students.

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.

Biomedical engineering at Cornell means Annie writes Python and MATLAB to process real research data — skills that map directly onto AP CSP's emphasis on programming, data analysis, and algorithmic thinking. She teaches the Create Task as a scaled-down version of the same design process she uses in lab: define the problem, plan the logic, build iteratively, then explain your choices clearly. Rated 4.9 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.

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.

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.