Award-Winning AP Computer Science Principles Tutors
serving Rochester, NY

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.

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.

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.

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.

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.

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.

I'm a professional software engineer at a top tech company in New York City. I have a strong passion for software development, most notably in the areas of full-stack web development, iOS development, Artificial intelligence, large scale distributed systems, and micro services.

I am a sophomore at Columbia University, studying political science and philosophy. I often like to joke that teaching runs in my blood I come from a family of teachers who instilled in me the passion to help others learn. Since I could grasp concepts I learned in school, I've always gone out of my way to help my fellow classmate. As I got older, that became formalized tutoring through school organizations and I eventually worked for the New York City Department of Education. There, I helped students with their standardized testing for the state assessments and the SAT. I love teaching math because I feel it's the subject where I can gauge the strength of my students best. Math is such a versatile (though widely-hated) subject, where every unique learning style can always result in the same answer. I also get the most freedom when it comes to designing questions to help students grow and practicing alongside them easily the most fun part of a tutoring session with me. I'm never shy when it comes to tutoring anything else, though, whether it be any sort of history, literature, or government-related topic. My goal as a tutor is not all about teaching anything new to my students, but instead drawing out the skills they already have.

Kyle knows six-plus programming languages — Python, Java, C++, JavaScript, C, and assembly — which means when AP CSP's exam asks students to trace pseudocode or reason about abstraction, he can pull up a real example in whatever language makes the concept clearest. He also walks students through the Create Task from initial brainstorm to written response, making sure every rubric point is addressed. Rated 5.0 by students.

Before teaching AP CSP concepts, Deeptha spent years as a TA for courses ranging from Introduction to Computation in Python to Automata and Formal Languages — meaning she's watched hundreds of students encounter computational thinking for the first time and knows exactly where confusion sets in. She uses that experience to break down the course's Big Ideas around the internet, data, and global impact into concrete examples students can actually write about on the exam.

Nihar's math and statistics degree means the data analysis and algorithmic reasoning threads in AP CSP come naturally — he can explain how sorting algorithms compare or why a particular data compression method loses information, grounding it in the quantitative thinking most students skip over. His programming experience across Java, JavaScript, SQL, and HTML also lets him translate pseudocode exam questions into real code when a student needs to see the logic in action.

AP CSP covers a mile-wide range — from binary and abstraction to the impact of computing on society — and the Create Task alone can make or break a student's score. Serina's computer science major at Yale means she can demystify concepts like data compression, algorithms, and the internet protocol stack while coaching students to write clean, well-documented code for their performance tasks.

Shlomo codes in Java and C++ and has tutored algorithms at the college level, so he can ground AP CSP's pseudocode and algorithmic reasoning questions in actual programming logic rather than hand-wavy definitions. His political science training also sharpens the kind of structured argumentation the Create Task's written responses demand — explaining computational decisions clearly and hitting every rubric point.

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.

Cindy doesn't come from a traditional CS background, but her 36 ACT and analytical training as a Harvard English student give her a sharp edge on AP CSP's most underestimated challenge: the written responses. The Create Task and exam both reward students who can explain computational ideas — abstraction, algorithms, data patterns — in clear, precise language, and that's exactly the skill set she brings to every session.

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.

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!

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.

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.

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.

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.

I am a recent graduate with a master's in electrical engineering from Case Western Reserve University. I won the Bill and Melinda Gates Millennium Scholarship which covers full tuition up to Ph.D. I was on the Dean's List for three consecutive years. Additionally, I won the OZY Media Genius Award in 2015 to work on high-temperature superconductors. I currently work as a Technology Analyst at Accenture. I am also seriously considering whether I should go for a Ph.D. or not.

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.

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.

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.