Award-Winning AP Computer Science Principles Tutors
serving St. Petersburg, FL

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.

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!

Dalila's math degree gives her a sharper lens on the algorithmic and data-representation units that carry the most weight in AP CSP — she can explain why a particular sorting approach scales better than another or how abstraction layers simplify a complex problem. For the Create Performance Task, she emphasizes building clean pseudocode logic first, then translating it into a written response that hits every rubric point without overcomplicating the code.

Studying both neuroscience and computer science at Duke means Ankit lives at the intersection AP CSP actually tests — how computing shapes real-world systems, from brain imaging pipelines to cybersecurity ethics. He digs into the algorithmic thinking and data representation questions that trip students up on the multiple-choice section, and coaches the Create Task from initial planning through the written response. Rated 4.8 by students.

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.

Daniel writes production software for a living and is pursuing a PhD in Computer Science, which means he can show students exactly how concepts like abstraction, algorithms, and data representation play out in real codebases — not just on slides. He's particularly effective at coaching the Create Task, walking students through project planning and the written responses that separate a 3 from a 5. Rated 5.0 by students.

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.

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.

Parker's dual focus on computer science and studio art gives him an unusual lens for AP CSP — a course where creativity and computational thinking intersect directly in the Create Task. He teaches students to approach abstraction and algorithm design the way a designer approaches a project: define the problem, sketch the logic, then build and refine. Perfect scores on both the SAT and ACT back up the analytical rigor behind that creative process.

Harrison's interdisciplinary science background — spanning biochemistry, physics, and nanotechnology research — gives him an unusual entry point into computational thinking: he's used algorithms and data analysis to solve real laboratory problems. For AP CSP, he unpacks how concepts like data representation and abstraction apply outside of traditional coding, which clicks for students who think of themselves as scientists rather than programmers.

Biology majors don't usually stand out for AP CSP — but the course's data analysis and impact-of-computing questions reward exactly the kind of scientific reasoning Liraz practices daily at Vanderbilt, where interpreting datasets and evaluating research methods is core to her coursework. She also brings MATLAB programming experience to the table, which grounds pseudocode logic in real coding habits rather than abstract exam drills.

I am a game designer, and tutor. I love teaching topics related to my skillset as well as other topics that I often use within my job. Very good with MATH as a passion. Helped so many students in Math

As a passionate educator with a Master's degree in Computer Science from Florida Atlantic University, I am dedicated to fostering a deep understanding of computational concepts in my students. With over 2 years of experience tutoring AP Computer Science A, AP Computer Science Principles, Python, and Java, I adopt a hands-on approach that emphasizes real-world problem-solving. My teaching philosophy revolves around creating a supportive environment where students feel encouraged to ask questions and actively engage with the material. I am motivated by the belief that every student has the potential to excel in technology, and I strive to guide them on their academic journeys. In my free time, I enjoy developing personal coding projects and exploring the latest technological advancements, sharing these insights with my students to spark their curiosity and enhance their learning experience. I am also a Software Engineer, and happy to discuss career development. Excited to work with you!

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.

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.

Most AP CSP students underestimate how much the exam leans on reading and tracing pseudocode under time pressure — it's a skill that requires practice, not just familiarity with vocabulary. Katherine programs in C and C++ as part of her Computer Science studies at Swarthmore, so she can translate those abstract pseudocode snippets into real logic students can step through and understand. She also brings strong writing chops to the Create Task's written response, where clear explanation of an algorithm often matters more than the code itself.

Most AP CSP students get tripped up not by the coding but by the Big Idea questions that ask them to reason about how computing affects the world — privacy, bias in algorithms, digital divide issues. Susie pairs her Duke CS coursework with a genuine interest in the humanities side of tech, which means she can coach students through both the conceptual exam material and the written responses on the Create Task without defaulting to jargon.

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.

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.

Stanford's economics curriculum leans heavily on data analysis and programming — skills that map directly onto AP CSP's units on data representation, algorithms, and computational thinking. Julia applies that quantitative training to demystify pseudocode logic and the Create Task's written responses, where clearly explaining your program matters as much as building it. Rated 4.8 by students.

Computer engineering majors live inside the concepts AP CSP tests — binary representation, how the internet's layers talk to each other, the way abstraction turns messy problems into clean designs. Alfred studies exactly this at URI, so he can ground pseudocode questions and Create Task planning in the real engineering systems he's building in his own coursework. Rated 5.0 by students.

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.

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.

Coming from Thomas Jefferson High School for Science and Technology — one of the most competitive STEM programs in the country — and now studying computer engineering at Vanderbilt, Rhamy brings real depth to the algorithms and abstraction concepts that AP CSP tests. He digs into how programming logic actually maps to hardware, which gives students an intuitive grasp of topics like data representation and protocol layers that most review guides gloss over. 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.