Award-Winning High School Computer Science Tutors
serving Murrieta, CA

Milan's CS degree means he can teach high school programming concepts — variables, control flow, object-oriented basics — with a real understanding of what's happening under the hood, not just pattern-matching syntax from a textbook. His English double major also sharpens how he explains things: he's practiced at making technical ideas readable and clear, which matters when a student is staring at a block of code that makes no sense yet.

The jump from "using computers" to "thinking computationally" trips up a lot of high schoolers, especially when loops and conditionals first appear. Dennis breaks programming logic into small, testable pieces so students build confidence writing their own code instead of copying examples. He holds a 5.0 client rating.

The jump from using a computer to thinking computationally is where most high school CS students struggle. Sarah's training in physics and math gave her deep practice in the kind of logical decomposition that makes loops, conditionals, and basic data structures click rather than feel arbitrary.

The jump from writing simple programs to thinking computationally — understanding loops, conditionals, and how data flows through a function — is where most high school CS students get stuck. Ethan teaches these building blocks in Java and Python, tying abstract logic to concrete outputs so the reasoning clicks before the syntax piles up.

That first encounter with nested loops or recursive functions can make high school CS feel overwhelming in a hurry. Eric, who studies computer science at NYU alongside finance and statistics, breaks down programming logic step by step — tracing through code execution, diagramming how arrays store data, and explaining why certain algorithms run faster than others. He's rated 5.0 by students.

That first encounter with loops, conditionals, and functions can feel overwhelming when everything is new vocabulary. Allison breaks programming logic into small, testable pieces — write three lines, run them, see what happens — so students build intuition for debugging and problem decomposition before projects get complex. Rated 4.9 by students.

High school CS courses often move fast from basic control flow to more complex topics like arrays, sorting algorithms, and introductory object-oriented programming. Noah's computer science degree from Duke means he can explain why a for-loop works the way it does, not just show the syntax. He adjusts his explanations based on whether a student thinks visually, logically, or learns best by building small projects.

Starting computer science in high school can feel overwhelming when you're simultaneously learning to think logically and write syntactically correct code. Jerry bridges that gap by teaching computational thinking first — loops, conditionals, and functions as problem-solving patterns — before layering on language-specific syntax. His own path from high school coder to Apple and Microsoft intern gives him a clear picture of what foundational skills matter most.

Kashish's engineering coursework at Brown means she writes and debugs code regularly, which gives her a practical lens for teaching high school CS topics like variables, control flow, and basic algorithmic thinking. Her experience leading SAT prep classes also sharpened her ability to break down unfamiliar problems into logical steps — exactly the skill students need when they're staring at a blank editor wondering where to start. Rated 5.0 by students.

AP Computer Science and introductory programming courses often trip students up at the same points — loop logic, array manipulation, and understanding how methods pass data around. Michael's UCLA computer science background means he can trace through code line by line and show exactly where a student's reasoning diverges from what the machine actually does. That debugging-oriented approach builds real problem-solving instincts.

Philosophy trains you to break complex arguments into precise logical steps — which turns out to be exactly what high school CS demands when students hit Boolean logic, nested conditionals, and algorithm design. Julie applies that structured reasoning to programming concepts, teaching students to think through what their code should do before they start typing. Her statistics and machine learning certificate at Princeton means she's no stranger to writing and debugging code herself.

I'm a recent college graduate with degrees in Biological Sciences and Russian from Ohio University. During my time there, I tutored students in a variety of subjects, including biology, chemistry, and Spanish. In addition, I worked as both a peer advisor and teaching assistant, which gives me insight into the learning strategies and study skills that students need to succeed. As a tutor, I like to focus on doing actual problems with students because it is the most effective way to immediately identify their strengths and weaknesses and to address them. In my free time, I like to lift weights, read books, and spend time with my friends.

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.

I am a graduate student currently working on my Master's Degree in Big Data Systems.

A lot of high school CS courses move fast from basic loops and conditionals into AP-level topics like recursion and array manipulation. Rhamy breaks each concept into small, buildable steps — writing actual programs rather than just reading pseudocode — so the logic sticks before the syntax piles up.