Award-Winning Computer Science Tutors
serving Savannah, GA

Isabella TA'd multiple computer science courses at MIT, so she's seen exactly where students get stuck — whether it's tracing recursive calls, understanding how data structures like linked lists and trees actually work in memory, or debugging logic errors in their code. She explains the underlying concepts so that writing correct programs becomes intuitive rather than trial-and-error. Rated 5.0 by students.

Manideep's coursework spans both the sciences and computer science, giving him a practical view of how programming concepts like data structures, algorithms, and abstraction apply beyond the CS classroom. He teaches the logic underneath the code — how to think through a problem before writing a single line.

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.

Sasha's computer engineering degree means she didn't just learn to write code — she learned how software talks to hardware, from logic gates and circuit design up through the abstractions that make high-level programming possible. That bottom-up perspective is especially useful for teaching topics like binary representation, Boolean logic, and how data actually moves through a system. Rated 4.9 by students.

Studying computer science at Haverford while actively coding in Java and Python, Jackson teaches programming with the perspective of someone currently wrestling with the same assignments and projects his students face. He's especially sharp at translating the logic behind concepts like loops, conditionals, and object-oriented structure into plain language — then showing how that logic maps onto actual working code. Rated 5.0 by students.

From sorting algorithms and Big-O analysis to database design and systems architecture, computer science covers enormous ground. Andrew studied both Computer Science and Accounting at Ohio State, giving him a dual perspective on how computational thinking applies to real-world problem solving — not just theory on a whiteboard.

Programming and linguistics share a surprising amount of DNA: both involve formal grammars, parsing rules, and building complex structures from simple components. Ben teaches computer science concepts — from data structures to algorithmic thinking — through that structural lens, making abstract ideas like recursion or object-oriented design more intuitive.

Currently pursuing a computer science degree at Georgia State, Rohan digs into foundational concepts like data structures, control flow, and algorithm logic with students who are just starting to think computationally. He remembers what it felt like when a for-loop made zero sense, and he uses that memory to explain programming ideas in plain language before layering on the technical vocabulary.

Zachary's engineering background means he learned to code not as an abstract exercise but as a tool for solving physical problems — writing scripts to model mechanical systems, automate calculations, and process data. He breaks down core concepts like loops, conditionals, and data structures by tying them to tangible projects students can actually see working.

As a senior software engineer with a master's in computer engineering, Anders teaches CS the way it's actually practiced — not just syntax, but how data structures, algorithms, and system design connect to build real software. He digs into topics like time complexity analysis, recursion, and object-oriented design with concrete examples drawn from production codebases he's worked on. Rated 5.0 by students.

Alexander's path into computer science started with video game design and a love of math, which means he teaches programming concepts — recursion, data structures, algorithmic complexity — through the lens of problem-solving rather than rote syntax memorization. He codes primarily in Python and JavaScript and is currently pursuing his CS degree at Boston College. Rated 5.0 by students.

Studying Computational Media at Georgia Tech means Regina lives at the intersection of algorithms, data structures, and creative problem-solving every day. She's especially sharp on the fundamentals that trip students up early — recursion, runtime analysis, and translating pseudocode into working programs.

From algorithm complexity and data structures to database design and software architecture, Daniel covers computer science as a discipline — not just a collection of coding exercises. His BS in Computer Science grounds every session in the theoretical foundations (Big-O analysis, recursion, graph traversal) that separate real understanding from copy-paste coding.

I am a recent graduate of Emory University, where I studied Mathematics and Philosophy. I have over three years of experience tutoring middle-school to high-school students in math, science, and test prep. I think every student learns differently, and the most important job of a tutor is to tailor his or her style of teaching to each student's unique way of thinking.

Hello, I am an 19 year old senior at Kennesaw State University and I'm studying for a degree in Software Engineering. I am also minoring in mathematics. I love learning and helping people find new ways to think about things to strengthen their understanding. I specialize in mathematics and computer science fields because these fields remind me of puzzles. Being given a set of ground rules and then instructed to get from point A to point B within the confines is the definition of a puzzle. Viewing these topics in this way is a great way to give people a different perspective on the concepts they're learning. That is the kind of help I want to provide.

Hello! My name is Neha, and I'm a data scientist currently in my gap year before starting medical school this coming summer. I earned both my Bachelor of Science in Computer Science with a focus in Intelligence and Modeling & Simulation and my Master of Science in Bioinformatics from the Georgia Institute of Technology. I'm passionate about helping students of all ages break down challenging topics and develop effective study strategies. I specialize in tutoring college and high school level Biology, Chemistry, and Computer Science, drawing on both my technical and scientific background to make complex material approachable and engaging. My teaching philosophy centers on creating a supportive, interactive environment where students feel confident asking questions and exploring ideas. I adapt my approach to each student's unique learning style and interests, with the goal of building understanding, confidence, and long-term curiosity. Watching my students grow and succeed academically is the most rewarding part of what I do.

John transitioned from law into co-founding a software company, which meant teaching himself to think in algorithms, data structures, and system design under real deadlines. He approaches computer science the same way — breaking problems into smaller, solvable pieces before writing a single line of code. That builder's mindset makes debugging and logic design feel less intimidating.

A Stanford MS in Computer Science means David can teach everything from data structures and algorithms to object-oriented design with the depth that comes from building real systems — not just reading about them. He spent a summer teaching web and app development to high school students in Palestine, so he knows how to make abstract CS concepts click through hands-on projects.

Studying computer science at Cornell, Eric tackles everything from algorithm analysis and Big-O notation to systems-level concepts like memory management and recursion. He breaks down problems the way a CS student actually encounters them — whiteboarding a solution, tracing through edge cases, then translating logic into clean code. His 5.0 rating speaks to how clearly that approach lands.

I am a undergraduate freshman of the University of Michigan, studying business at the Ross School of Business. Working together with students and having a good time while seeing steady improvements has proven to provide me great joy. I believe that communication and relationship building is crucial for students to open up about their struggles and also for me to identify problems they don't realize they can improve on, so this is a key aspect of all of my lessons. During my free time, I enjoy playing sports or snacking on desserts while binge-watching Friends!

Studying Computer Science alongside Math/Stats at Carleton College, Thomas lives at the intersection of algorithms, data structures, and mathematical reasoning. He digs into topics like recursion, sorting algorithms, and object-oriented design by building understanding from first principles rather than rote code memorization.

Programming starts making sense when you stop memorizing syntax and start thinking about what the computer is actually doing step by step. June's electrical engineering background at Brown gives her insight into both the hardware and software sides — she can explain why an algorithm is efficient, not just how to write it. From loops and conditionals to data structures and recursion, she connects each concept to real projects she's built in robotics and hackathons.

From recursion and sorting algorithms to Big-O analysis and object-oriented design, Ethan covers core computer science concepts with the rigor of someone studying it as a second major alongside aerospace engineering. He emphasizes understanding why an algorithm works — tracing through execution step by step — so students can adapt their thinking to new problems on exams and in projects.

Benjamin's finance and economics training at Notre Dame means he learned to code as a problem-solving tool — building models, analyzing datasets, and automating calculations — rather than through a traditional CS curriculum. That pragmatic entry point makes him effective at teaching programming logic and computational thinking to students who want to understand how code actually gets used in business and quantitative fields. Rated 5.0 by students.

Studying computer science at MIT, Brice digs into everything from data structures and algorithms to systems-level thinking with students at any stage. He's tutored over 30 students in the past year alone, tackling topics like recursion, object-oriented design, and algorithmic complexity. Rated 4.9 by students.

Engineering science at Vanderbilt means Ethan writes code to solve real problems — simulations, data analysis, algorithm design — not just textbook exercises. He breaks down core concepts like recursion, data structures, and object-oriented design by connecting them to projects that actually do something interesting.

Building AI systems and low-level software at Stanford — in both Python and C++ — Kevin knows where the theoretical meets the practical in computer science. His biocomputation specialization means he can explain not just how to implement an algorithm, but why certain computational approaches work better for different problem domains. Rated 5.0 by students.

I'm trying to work on personal projects. I really enjoy snowboarding, and have been doing that since the third grade. I also enjoy playing sports and video games.