Award-Winning High School Computer Science Tutors
serving Mission Viejo, 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.

For students just encountering loops, conditionals, and basic data types for the first time, the leap from "I followed the example" to "I can solve a new problem" is the hardest part. Susie bridges that gap by walking through the logic behind each line of code rather than just showing the finished product. She's a CS major at Duke who remembers exactly where beginners get stuck.

I am a junior Computer Science major in the College of Engineering at Cornell University. I have experience tutoring in the National Honor Society in high school, as well as on numerous occasions with acquaintances of mine who were struggling and needed a hand. I tutor high school computer science especially in java and python, as well as algebra (1 & 2) and calculus 1. I love tutoring the math subjects especially, because I feel very comfortable with the subjects and enjoy abstracting them in different ways to help any individual. I believe that success in education is key to building a great life for oneself, and that any person can succeed with the proper work ethic and support network. Even more, I love to see when people I have helped are successful, regardless of area of life. In my spare time, I love to follow college football and basketball and talk about games.

For students encountering loops, conditionals, and arrays for the first time, the leap from "I typed the code" to "I understand why it works" can be steep. Jonathan bridges that gap by walking through each concept with concrete examples and building up to small projects that make the logic tangible. His CS coursework at Cornell keeps him sharp on the fundamentals that matter most at the high school level.

High school CS often moves fast from basic control flow to more intimidating topics like recursion, sorting algorithms, and array manipulation. Ignacio breaks these down using Java and Python examples that build intuition step by step, drawing on both his UChicago training and his current graduate-level CS work at DePaul.

For students encountering loops, conditionals, and arrays for the first time, the leap from "I followed the example" to "I can solve a new problem" is the hardest part. Anna bridges that gap by teaching structured problem decomposition — breaking a coding challenge into smaller logical steps before writing a single line. Her background spans multiple programming languages, so she adapts explanations to whatever language the course uses.

Computational engineering at UT Austin means Atharva lives at the intersection of coding and problem-solving every day — from data structures and algorithms to logic design and basic hardware concepts. He breaks down abstract CS ideas like recursion, sorting, and object-oriented thinking into concrete examples students can trace through line by line. Rated 5.0 by students.

A Princeton postdoctoral researcher in machine learning, Firas brings PhD-level computer science depth to high school topics that often get taught superficially — things like how recursion actually works under the hood, or why an O(n²) sort matters even in an intro course. He teaches Python, Java, and JavaScript across his tutoring practice, so he can match whatever language a student's class uses and still keep the focus on the conceptual reasoning underneath. Rated 5.0 by students.

High school CS courses often jump quickly from basic syntax to projects involving loops, arrays, and object-oriented design — and that's where students get lost. Jeff breaks down each programming concept into its logical components, showing how a for-loop actually iterates or why a function needs a return statement, so the code starts making sense instead of feeling like memorized spells.

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

Alicia's architecture degrees from MIT and UT Austin required serious programming — from Python scripts automating structural analysis to Java applications modeling building systems — so she teaches high school CS with a library of real problems, not just textbook exercises. Her Computer Science minor and TA experience mean she can unpack topics like object-oriented design and algorithm logic at whatever depth a student needs. Rated 5.0 by students.

I am Chad Bergman, a current Dartmouth student pursuing my Bachelor's in Economics with a physics minor. I have experience tutoring college economics in person on Dartmouth campus as well as online tutoring in high school calculus and physics. I've had great success on the SAT and ACT as well as my AP tests in high school, and I hope to help others succeed as well. My favorite subject to tutor is physics because I feel like learning to apply a few fundamental principles to different real world situations is extremely useful in any discipline. While tutoring I try to help students master the fundamentals so they can apply them to the material we're working on as well as future material. Outside academia, I help look after my four siblings and play more League of Legends online than is perhaps healthy.

First-year CS courses often overwhelm students not because the concepts are impossibly hard, but because loops, conditionals, and functions all land at once with little time to absorb each one. Joel slows that down — he walks through each concept with concrete examples and small coding challenges that build real understanding before the assignments pile up. He's studying CS and physics at Cornell, so the material is fresh.