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

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.

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.

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!

Alliyah codes in Python, Java, JavaScript, and C++ as part of her computational science studies at Harvard, which means she can translate AP CSP's pseudocode questions into real programming logic students actually recognize. She's especially sharp on the data representation and algorithmic thinking Big Ideas, grounding them in the kind of hands-on projects — like web development and data structures work — that make abstract exam concepts tangible.

Kerr is currently building iOS apps and games as a CS major at Vanderbilt, which means the programming and design thinking in AP CSP's Create Task mirrors what he does every week. He teaches pseudocode logic and algorithm design by connecting them to real development decisions — like why a particular data structure speeds up a game or how abstraction keeps an app's codebase manageable. Rated 4.9 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.

John's CS degree plus years coding in Java, C++, and SQL means he can ground AP CSP's more abstract units — like how the internet actually moves data or why abstraction matters in program design — in real programming experience. He also brings a finance MBA perspective to the data analysis and societal impact questions, giving students a practical lens that makes exam responses sharper and more specific.

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.

Mathematics trains you to think in abstractions — which is exactly what AP CSP's Big Ideas demand when students encounter data representation, algorithmic logic, or internet protocols for the first time. Nikhil's math background at NYU gives him a natural framework for making pseudocode tracing and binary concepts click, especially for students who think numerically but haven't written much code. Rated 4.8 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.

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.

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.

Benjamin's finance and economics training at Notre Dame meant constant work with data modeling, algorithmic thinking, and spreadsheet automation — skills that map directly onto AP CSP's units on data analysis, abstraction, and the impact of computing. He approaches the Create Task like a business case: define the problem, plan the logic in pseudocode, build it, then write it up so a non-technical audience gets it. 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.

Miguel's dual CS and English degree is a rare combination for AP CSP, where half the battle is writing code and the other half is explaining it — the Create Task's written responses demand the same clarity and structure as a well-argued essay. He teaches students to translate their algorithmic thinking into the precise language the rubric rewards, bridging the gap between understanding abstraction and actually articulating it on paper. Rated 4.9 by students.