Award-Winning AP Computer Science Principles Tutors
serving Palm Bay, 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!

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.

Bryan codes in Java, C++, Python, and JavaScript daily as a CS major at Penn, which means the programming and algorithm design portions of AP CSP come naturally — but he's equally sharp on the conceptual side, like explaining how data travels across the internet or why abstraction matters in system design. He scored a 35 ACT and holds a 5.0 tutoring rating, and he's particularly effective at coaching students through the written response component of the Create Task, where clear technical communication counts as much as the code itself.

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.

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.

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.

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.

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.

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.

Adel's PhD in mechanical engineering required extensive work in Java and computational modeling — skills that translate directly to the algorithmic thinking and pseudocode analysis at the heart of AP CSP. He unpacks topics like data representation and abstraction by tying them to engineering simulations where those concepts have real consequences. Rated 4.8 by students.

Pratik doesn't come from a traditional CS background, but his premed training at Cornell — where he regularly works with data sets, statistical models, and logical reasoning — maps directly onto the computational thinking AP CSP tests. He's especially effective at breaking down the data analysis and algorithm units, translating abstract pseudocode into the kind of step-by-step problem solving he uses in biology and chemistry every day.

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.

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.