Online Computer Science and A.I. Tutoring for School, University, Professionals

Learn Computer Science and A.I.
Build & Practice.
Think Like a Programmer.

Personalized Computer Science, Programming and AI/Machine Learning lessons, adapted to your current level, academic goals and learning pace — delivered, online.

Carefully caliberated lessons Online learning Dubai & UAE friendly scheduling Beginner to advanced
tutor_profile.py
# Computer Science & AI Tutor
name = " Ruchi Mali"
qualification = "M.Sc. C.S 9.94/10.0 CGPA"
university = "Ramnarain Ruia Autonomous College, Mumbai"
experience = "Founding A.I. Engineer at a Startup, 40 + Independent Projects across domains like blockchain, AI, ML, Python, Computer Science, Cyber Security, Ethical Hacking, Data Science. Academic Research in cs, psychology."
teaches_in = "Dubai, UAE"
teaches = ["CS", "Programming", "AI/ML"]

Easy to understand

Every lesson made easy to understand

Practical

Learn by building, not just memorizing

Weekends

Lessons scheduled mainly around weekends

Structured and indepth

A clear learning path and taught in depth with real life examples

Meet Your Tutor

Meet Your Tutor

I help students develop strong foundations in Computer Science while showing them how concepts are applied in real software, AI and technology projects.

CS and AI Tutor

Ruchi Mali

A.I. and Computer Science Tutor &Founding A.I. Engineer]

Teaching Computer Science Fundamentals and AI to innumerable learners for around 3 years, with major focus on fundamentals, practice, and easy comprehension with indepth understanding. Helping to see CS and AI in real life with real leanring.

Qualification
M.Sc C.S 9.94/10.0 CGPA
University
Ramnarain Ruia Autonomous College
Teaching experience
Taught to learners from school (ICSE, CBSC) and universities along with independent learners.
Industry / research experience
40 + varied independent projects, founding ai engineer at a startup and research in Algorithms, Blockchain, ML, A.I. and Psychology
Programming languages
Python, C++, C, Java, Javascript, css, Jquery
AI / ML expertise
Implemeted research client and independent with company projects on llms, ai algorithm, deep learning, ml algorithms, etc
Publications
Poster Presentation in International Millets Conference, Research Paper Publication ongoing
Who I Teach

For every phase of learning Computer Science

Lessons are built according to the academic level

School Students

School Students

Programming fundamentals, Computer Science concepts, practicals, practice sessions, paper solving and tests.

University

University Students

Programming, DSA, databases, software development, AI/ML and technical projects and core concepts.

Indepedent Learners

Independent Students

Topic vise, Subject wise practice sessions, learn in depth concepts.

Complete Beginners are Most Welcome

No previous experience in subject matter required.

Contact Me
What I Teach

Subjects & topics

These are few topics or subjects, these are subjected to change as per the requirements of curriculum.

Programming Fundamentals & Data Structures

What you'll learn: variables, control flow, functions, arrays, lists, stacks, queues, trees.
Who it's for: beginners through early university students.
Example projects: to-do app, simple data structure visualizer.
fundamentalsdata structures

Algorithms & Object-Oriented Programming

What you'll learn: sorting, searching, complexity, classes, inheritance, polymorphism.
Who it's for: school and university students.
Example projects: sorting visualizer, small OOP-based simulation.
algorithmsOOP

Databases & SQL

What you'll learn: relational design, SQL queries, normalization.
Who it's for: coursework and applied university projects.
Example projects: student management database, inventory system.
SQLdatabases

Computer Architecture, OS & Networks

What you'll learn: systems fundamentals, operating systems, networking basics.
Who it's for: exam preparation and university coursework.
Example projects: concept walkthroughs, exam-style problem sets.
systemsnetworks

Python

What you'll learn: syntax, problem solving, scripting, applied projects.
Who it's for: complete beginners to advanced students.
Example projects: calculator, quiz app, automation script.
python

C & C++

What you'll learn: memory management, pointers, low-level programming concepts.
Who it's for: school and university coursework.
Example projects: small console applications.
cc++

Java & JavaScript

What you'll learn: object-oriented programming, event-driven programming basics.
Who it's for: coursework and applied software projects.
Example projects: simple desktop or browser-based tools.
javajavascript

Problem Solving & Debugging

What you'll learn: reading errors, structured debugging, code optimization.
Who it's for: any student who is stuck on coursework or a project.
Example projects: live debugging of the student's own code.
debuggingoptimization

Python for AI, NumPy & Pandas

What you'll learn: data handling, numerical computing, data cleaning.
Who it's for: university students starting in AI/ML.
Example projects: data analysis notebook.
numpypandas

Machine Learning & Neural Networks

What you'll learn: core ML concepts, model training, evaluation, neural network basics.
Who it's for: university students and advanced learners.
Example projects: a classification model on a sample dataset.
MLneural networks

Deep Learning, Computer Vision & NLP

What you'll learn: deep learning fundamentals, image and text-based models.
Who it's for: advanced university students.
Example projects: image classification, a simple chatbot.
deep learningCVNLP

AI Projects

What you'll learn: applying AI/ML concepts to a guided, student-appropriate project.
Who it's for: students building a portfolio or coursework submission.
Example projects: matched to the student's interests and ability.
projects

HTML, CSS & JavaScript

What you'll learn: building and styling web pages, interactivity.
Who it's for: beginners to intermediate students.
Example projects: a personal portfolio page.
htmlcssjs

APIs & Backend Development

What you'll learn: server-side logic, working with APIs and databases.
Who it's for: intermediate to advanced students.
Example projects: a small web application with a database.
APIsbackend
Learning Path

How the tutoring journey progresses

A clear, sequential path — each phase builds on the last.

START

Learn Basics

Learn all the required basics.

STRENGTHEN

Strengthen the fundamentals

Learn and strengthen the fundamentals of a topic or subject.

PRACTICE

Continous Practice

Continous practice with tests, practice papers and problem solving.

PRACTICAL IMPLEMENTATION

AI / Machine Learning / Software Development

Implement the practical solutions of the technology.

REAL LIFE USE

Real-World Implemetations of what you are learning

Applying concepts to real, working programs and the use of learned technology in real life.

Project-Based Learning

Don't Just Learn Code. Build With It.

Concepts become easier to understand when students use them to solve real problems. Lessons can include practical projects matched to the student's ability and interests. These are examples of the kind of projects a student might build — Projects are based on the subject and curriculum and requirements of the selected course.

Beginner

Calculator

Technologies: Python or JavaScript
Skills learned: functions, operators, input handling
Beginner

Quiz Application

Technologies: Python
Skills learned: conditionals, loops, data storage
Beginner

Number Guessing Game

Technologies: Python
Skills learned: loops, conditionals, randomization
Beginner

To-Do Application

Technologies: Python or JavaScript
Skills learned: lists, functions, basic file storage
Intermediate

Student Management System

Technologies: Python, SQL
Skills learned: databases, CRUD operations, OOP
Intermediate

Expense Tracker

Technologies: Python or JavaScript
Skills learned: data handling, file I/O, basic UI
Intermediate

Database Application

Technologies: SQL, Python
Skills learned: relational design, queries
Intermediate

Web Application

Technologies: HTML, CSS, JavaScript
Skills learned: front-end structure, interactivity
Advanced

Machine Learning Model

Technologies: Python, scikit-learn
Skills learned: model training, evaluation
Advanced

Image Classification

Technologies: Python, deep learning frameworks
Skills learned: computer vision fundamentals
Advanced

AI Chatbot

Technologies: Python, NLP libraries
Skills learned: natural language processing basics
Advanced

Data Analysis Project

Technologies: Python, Pandas
Skills learned: data cleaning, visualization, insight
How I Teach

A consistent process, adapted to every student

01

Assess

Understand the student's current knowledge, goals and difficulties.

02

Explain

Break complex concepts into simple, understandable steps.

03

Practice

Solve guided problems together.

04

Apply

Use the concept in a practical exercise or project.

05

Review

Identify mistakes and reinforce understanding.

06

Progress

Adapt future lessons according to the student's development.

Academic & Exam Support

Exam preparation and coursework support

Exam Preparation

Concept revision
Exam-style questions
Past-paper practice
Programming problems
Weak-area identification
Revision planning

Guided Coursework Support

Understanding requirements
Breaking problems into smaller tasks
Programming guidance
Debugging
Testing
Revision
Doubt Solving
How Lessons Run

Everything You Need to Learn Online

Primary class platform: Google Meet. Learning management: Google Classroom. Communication: WhatsApp / Email / Botim. Tools vary.

Live classes

Google Meet

Live 1-to-1 classes, screen sharing and demonstrations.

Materials

Google Classroom

Lesson materials, homework, resources and submissions.

Communication

WhatsApp

Quick communication, reminders and parent/student coordination.

Coding — AI/ML

Google Colab

Python, data science and AI/ML exercises without complicated setup.

Coding — projects

GitHub

Project version control and portfolio development for appropriate students.

Coding — practice

Replit / Online Tools

Collaborative programming and practical exercises where appropriate.

Student Feedback

Student Feedback

SHLOK - ICSE

My name is shlok, and i had the oppourtunity to be taught C.S. for ICSE board by Ms. Ruchi. I’m truly grateful to Ms. Ruchi ma'am for teaching me Computer Science and making things easier, that initially seemed difficult and complicated. The subject was really made simple, logical, and genuinely interesting for me. Her way of explaining concepts patiently, breaking down problems step by step, and encouraging me to think rather than simply memorize made a huge difference in my learning. What I appreciated most was her ability to make programming and problem-solving feel practical and enjoyable. She always took the time to clear my doubts and helped me build a strong foundation in Computer Science. I’m really thankful for her guidance, patience, and constant encouragement. She is not just a teacher who teaches you to memorize things, but someone who genuinely cares about helping me understand and improve my basics and prepare for exams. i Highly recommended to anyone looking for a knowledgeable, patient, and dedicated Computer Science teacher!

Laxmi - CBSC

Ma’am is one of those teachers who makes you genuinely enjoy learning. Her Computer Science classes were always clear, engaging, and easy to follow, even when the topics were challenging. She has a wonderful way of explaining concepts with simple examples and making sure every doubt is properly understood. Instead of just focusing on marks and exams, she helped me understand the logic behind programming and develop better problem-solving skills. Her patience, encouragement, and personal attention made me feel much more confident in Computer Science. I’m really thankful for everything she has taught me and for the support she gave me throughout my learning journey. A truly dedicated teacher who puts real effort into helping her students succeed. I would definitely recommend her to anyone looking for a great Computer Science teacher.

FAQ

Frequently asked questions

Yes. Lessons start from wherever the student currently is, including complete beginners with no prior programming experience.
school students from Grade X through university level.
Yes — Computer Science, programming fundamentals and exam preparation for school students.
Yes absolutely
Yes — programming, data structures & algorithms, databases, software development, AI/ML and project guidance.
Yes, all lessons are conducted online via Google Meet.
Live lessons run on Google Meet, with materials shared through Google Classroom and quick communication via WhatsApp or email.
Yes — progress will be shared with parents.
Practice exercises are set where useful for reinforcing what was covered in a lesson.
Lessons are available in 60 or 90-minute durations.
Payment is processed securely through an external payment provider decieded at the time of class booking.
Contact

Have a question?

Get in touch directly, or send a short message and expect a reply within 24 hours.

Ready to Learn Computer Science Differently?

Whether you're starting from the basics, preparing for an exam or building your first AI project, lessons can be tailored to your goals.

Ready to start? Contact Me