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PhD CS Tutor | Python • AI/ML • Calculus I–II
Robinson V.

5.0 (2 ratings)

6 hours tutoring

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Hourly Rate: $50
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Response time: 9 hours

About Robinson

Bio

Hi! I’m Robinson — a PhD student in Computer Science at the University of Central Florida. I earned my B.S. in Computer Science (2022) and my M.S. in Computer Science (2024). Python is the language I’m most fluent in, and it’s what I use every day for research and applied projects. I also genuinely love math: it’s been my favorite subject for years, I won my high school math award, I earned a 5 on AP Calculus AB, and I later took Calculus II and Calculus III through the University of Florida...

Hi! I’m Robinson — a PhD student in Computer Science at the University of Central Florida. I earned my B.S. in Computer Science (2022) and my M.S. in Computer Science (2024). Python is the language I’m most fluent in, and it’s what I use every day for research and applied projects. I also genuinely love math: it’s been my favorite subject for years, I won my high school math award, I earned a 5 on AP Calculus AB, and I later took Calculus II and Calculus III through the University of Florida online and earned A’s in both. That combination (strong math + strong programming) lets me help students both understand concepts and execute them correctly under pressure.

I’ve spent multiple semesters teaching and supporting students in structured academic settings. At UCF I’ve been a Graduate Teaching Assistant for core CS courses, where I led labs/recitations, held office hours, and gave detailed feedback on programming assignments. I’ve also TA’d Discrete Math and other foundational courses, so I’m used to helping students who feel stuck build the habits that make everything easier: breaking problems down, tracking assumptions, and explaining their reasoning clearly. Outside the university setting, I review student work for a Generative AI program, which has made me very comfortable giving direct, practical feedback in a supportive way.

When we meet, I’ll usually start by asking a few quick questions to pinpoint exactly where things are breaking down. Then we’ll work through a small number of high-value examples together (or debug your code step-by-step), and I’ll leave you with a short plan you can realistically follow between sessions. I reply promptly, and if you send a couple of problems or your code/error message ahead of time, we can use the session time much more efficiently. I primarily tutor online for flexibility and focus, and I’m open to limited in-person sessions near UCF when it’s a good fit.

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Education

University of Central Florida
Computer Science
University of Central Florida
Masters
University of Central Florida
PhD

Additional Languages

Spanish

Policies

  • Hourly Rate: $50
  • Rate details: I am willing to negotiate my stated rate.
  • Lesson cancellation: 0 hours notice required

  • No background check

  • Your first lesson is backed by our Good Fit Guarantee

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Approved Subjects

ACT Math

ACT Math

I am currently a PhD student in Computer Science with a strong background in mathematics, problem solving, and teaching. In high school, I received the mathematics award for my grade and earned a perfect score in SAT Math, reflecting a strong foundation in the quantitative skills needed for standardized test success. I have also served as both a Teaching Assistant and Graduate Teaching Assistant for courses such as Discrete Mathematics, CS1, CS2, and Computability Theory, where I regularly helped students understand challenging material in a clear and structured way. These experiences strengthened my ability to explain concepts efficiently, identify where students are getting stuck, and help them improve both accuracy and confidence. For ACT Math, I focus not only on content mastery but also on pacing, strategy, and careful reasoning under timed conditions, while also supporting students in related coursework such as pre-calculus.
Algebra 1

Algebra 1

I am currently a PhD student in Computer Science with a strong background in mathematics, problem solving, and teaching. In high school, I received the mathematics award for my grade and earned a perfect score in SAT Math, reflecting a strong foundation in algebraic and quantitative reasoning. Since then, I have continued developing my teaching skills as both a Teaching Assistant and Graduate Teaching Assistant for courses such as Discrete Mathematics, CS1, CS2, and Computability Theory. These roles strengthened my ability to explain difficult concepts clearly, patiently, and in a structured way. I focus on helping students build true understanding and confidence, which is especially important for advanced algebra, trigonometry, homework support, and ACT Math preparation.
Algebra 2

Algebra 2

I am currently a PhD student in Computer Science with a strong background in mathematics, problem solving, and teaching. In high school, I received the mathematics award for my grade and earned a perfect score in SAT Math, reflecting a strong foundation in algebraic reasoning. Since then, I have continued developing my teaching skills as both a Teaching Assistant and Graduate Teaching Assistant for courses such as Discrete Mathematics, CS1, CS2, and Computability Theory. These roles strengthened my ability to explain difficult concepts clearly, patiently, and in a structured way. For Algebra 2, I can help with graphing functions, transformations, equations, intercepts, domain and range, and problem-solving strategies, while helping students build confidence and real understanding.
Calculus

Calculus

I am a PhD student in Computer Science at the University of Central Florida with both an M.S. and B.S. in Computer Science, along with strong academic performance (3.97 M.S. GPA, 3.93 B.S. GPA). My work includes AI in Education, automated grading, and writing clear, step-by-step explanations to help learners understand difficult material. I currently serve as a Graduate Teaching Assistant at UCF and as a Project Reviewer for Udacity, where I provide detailed, tutor-style feedback and support student learning. I also completed Calculus 2 and Calculus 3 through UF Online while in high school and earned A grades in both courses. In addition, I scored 166 on the GRE Quantitative Reasoning section. I am qualified to help students with core Calculus topics including integration techniques, applications of integration, sequences and series, parametric equations, polar coordinates, and exam preparation. My goal is to help students build genuine understanding, solve problems independently, and gain confidence in the subject.
Discrete Math

Discrete Math

I am currently a PhD student in Computer Science with a strong background in logic, mathematics, and quantitative reasoning. I have served as both a Teaching Assistant and Graduate Teaching Assistant for courses such as Discrete Mathematics, CS1, CS2, and Computability Theory, where I regularly helped students work through logical reasoning, proofs, problem solving, and technical concepts. I am comfortable supporting students in topics such as symbolic logic, probability, data interpretation, percentages, equations, and general quantitative literacy. My teaching style is clear, patient, and structured, with a focus on helping students understand the material and become more confident solving problems independently.
Geometry

Geometry

I am a PhD student in Computer Science with a strong mathematics background and substantial teaching experience. I received the mathematics award for my grade in high school and also served as a geometry tutor, where I helped students understand geometric reasoning and problem solving. Since then, I have worked as both a TA and GTA for mathematically rigorous subjects such as Discrete Mathematics and Computability Theory, which further developed my ability to explain abstract concepts in a clear and structured way. My teaching style emphasizes patience, logical thinking, and step-by-step understanding, which is especially important in geometry. I aim to help students strengthen both their skills and their confidence with the subject.
GRE

GRE

I am currently a PhD student in Computer Science with a strong background in mathematics, problem solving, and teaching. I took the GRE and scored 166 in Quantitative Reasoning, 159 in Verbal Reasoning, and 4.5 in Analytical Writing, corresponding to the 86th, 82nd, and 80th percentiles respectively. I have also served as both a Teaching Assistant and Graduate Teaching Assistant for courses such as Discrete Mathematics, CS1, CS2, and Computability Theory, where I regularly helped students understand challenging technical and mathematical concepts. For GRE preparation, I focus on rebuilding fundamentals, improving problem-solving strategy, and helping students approach the test with more confidence and structure.
Logic

Logic

I’m a PhD student in Computer Science with a strong background in formal logic and proof-based reasoning. I’ve taken Computational Complexity, where propositional and predicate logic are used to reason precisely about languages and decision problems, including polynomial-time reductions, P vs NP, NP-hard/NP-complete, and oracle-based reasoning. My coursework also covered computability classifications such as decidable, semi-decidable (recognizable), and non-recursive languages, and how these distinctions connect to quantifiers and formal definitions. In addition, I’ve served as a Graduate Teaching Assistant for Discrete Math and a Teaching Assistant for Discrete Math II (which includes computability), giving me extensive experience explaining logic and proof techniques from introductory topics to advanced material.
Machine Learning/ AI

Machine Learning/ AI

I’m a PhD student in Computer Science at UCF (M.S. CS, 2024; B.S. CS, 2022) and I work with machine learning and AI primarily in Python. I’ve published AI research and I’m actively working on additional manuscripts in the publication pipeline (one under review, one about to be published), so I’m comfortable with both theory and experimental evaluation. In industry, I worked as a Machine Learning intern at Qorvo where I built and analyzed PyTorch-based prediction pipelines and used practical tools like SHAP-style feature attribution and data/imbalance strategies to improve model behavior. I can support topics ranging from core supervised learning and deep learning workflows (scikit-learn/PyTorch, evaluation, overfitting, metrics, interpretability) to modern areas like LLMs and reinforcement learning.
Precalculus

Precalculus

I am currently a PhD student in Computer Science with a strong background in mathematics, problem solving, and teaching. Math has been one of my strongest subjects for many years, and I received the mathematics award for my grade in high school. I have also served as both a Teaching Assistant and Graduate Teaching Assistant for courses such as Discrete Mathematics, CS1, CS2, and Computability Theory, where I regularly helped students understand challenging technical and mathematical concepts. For Precalculus, I can help students with functions, graphing, transformations, trigonometry, exponential and logarithmic functions, and AP-style exam preparation while focusing on clear explanations, confidence, and real understanding.
Python

Python

I’m a PhD student in Computer Science at UCF (M.S. CS, 2024; B.S. CS, 2022) and Python is the language I use most in my research and applied work. I’ve taught and supported students for multiple semesters as a Graduate Teaching Assistant for core CS courses, where I led labs/recitations, held office hours, and gave detailed feedback on programming assignments written in Python. I’ve also worked in industry on Python-based machine learning workflows, so I’m comfortable with both fundamentals (control flow, functions, data structures, debugging) and more advanced use (clean code, performance, and ML tooling). I’m able to help beginners build a strong foundation and help more advanced students debug and improve real projects efficiently.
Spanish

Spanish

Spanish is my native language, and I am comfortable helping both children and adults improve their Spanish skills. I can support students with pronunciation, vocabulary, grammar, reading, writing, listening comprehension, and conversation practice. My teaching style is patient, clear, and adaptable, so I can make lessons engaging and age-appropriate for younger learners while also making them practical and goal-oriented for adults. I focus on helping students build confidence understanding and using Spanish in real situations.
Statistics

Statistics

I’m a PhD student in Computer Science (M.S. CS, 2024; B.S. CS, 2022) with strong experience using statistics in research and data-driven work. I earned a 5 on AP Statistics and I’m comfortable teaching the full AP Stats curriculum, including experimental design, probability, sampling distributions, confidence intervals, hypothesis tests, regression, and interpreting outputs correctly. I also use statistical thinking regularly in ML/AI work, so I’m especially good at explaining concepts like variance, bias, uncertainty, and common mistakes that lead to lost points. I can help students improve grades and test performance by strengthening fundamentals and practicing the exact question styles they’ll see on exams.
Prealgebra
Probability
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Ratings and Reviews

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Reviews

Clear, Knowledgeable, and Easy to Work With

Robinson is an excellent math tutor—knowledgeable, patient, and easy to work with. He explains concepts clearly and takes the time to make sure you truly understand the material. His ability to break things down and guide you through problems has been very helpful. I highly recommend him.

Sean, 3 lessons with Robinson

Great Computer Programming and Python Tutor

Robinson was amazing at helping me with Python programming. He helped me debug some code and reiterated fundamental concepts in a patient and easy going way. He showed me new methods also to achieve what I was looking for in Python. Very knowledgeable and great at teaching.

Federico, 1 lesson with Robinson
Hourly Rate: $50
Response time: 9 hours
Contact Robinson