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

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.

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.

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!

Electrical engineering taught Jake to think in systems — how signals move, how data gets encoded, how layers of abstraction stack to make hardware and software talk to each other. That mindset maps directly onto AP CSP's trickiest material, from binary representation to internet protocols to algorithm tracing in pseudocode. He also teaches across five programming languages, so the Create Task's coding component comes naturally.

Jackson studies computer science at Haverford and codes in both Java and Python, which means he can walk students through the Create Task in whichever language their class uses — and explain the pseudocode logic the exam actually tests. His 5.0 rating comes from making the non-coding half of AP CSP click too, connecting topics like data compression and internet protocols to real programming decisions rather than leaving them as abstract vocabulary to memorize.

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.

Studying computational science at Stanford while coming from a creative arts background at Juilliard's Pre-College program, Julia brings an unusual lens to AP CSP — she naturally bridges the course's technical units on algorithms and data representation with its emphasis on the societal and creative dimensions of computing. Her 1560 SAT and 5.0 tutoring rating back up the analytical chops, but it's that crossover between engineering and the arts that makes her especially effective at coaching the Create Task, where students need both programming logic and clear written explanation.

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.

I am a current student at the University of Michigan. I am studying molecular biology in the school of literature, science, and the arts. I will graduate in 2025. I am most passionate about teaching SAT test material, because that was an area that I focused on and improved my own score to reach my goals. I am excited to teach both the english and the math sections. I teach using extensive practice problems and practice tests, because that is what helped me learn best and improve my relevant skills. In my spare time I like to workout, swim at the beach, and surf. I would love to work with you to achieve your goals!

Sasha's computer engineering degree means the hardware side of AP CSP — binary encoding, logic gates, how data physically moves through networks — isn't abstract theory but something she's built circuits around. She uses that hands-on perspective to make the course's Big Ideas feel grounded, especially when students hit the units on data representation and internet protocols that tend to blur together without a concrete mental model. 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.

Payton is a Computer Science major at Texas A&M who codes in Python, C++, and Haskell — but AP CSP's exam cares more about pseudocode reasoning and explaining computational ideas in plain English than writing compilable programs. She teaches students to bridge that gap, translating real programming instincts into the kind of clear, structured responses the Create Task and multiple-choice questions actually reward. Rated 4.9 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.

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.

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.