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Since June 2026
Instructor since June 2026
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Private tutoring in programming, software engineering, and computer science for all levels
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From 31 € /h
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I offer private tutoring in programming, software engineering, and computer science for all levels, from beginners to university students and advanced learners. Lessons are tailored to each student's level and needs, emphasizing practical, step-by-step understanding rather than rote memorization.

The lessons include programming fundamentals, algorithms and data structures, object-oriented programming, databases, web application development, systems analysis and design, and software engineering, as well as assistance with university projects and assignments and exam preparation.

I use an interactive approach that combines explaining theoretical concepts, practical examples, and training in problem-solving and writing code correctly and systematically. Whether you're starting to learn programming from scratch, need to understand a university course, or want to develop your technical skills, I'll help you progress with a clear plan that suits your goals.
Extra information
Students must have their own personal computers/laptops
Location
location type icon
Online from Syria
About Me
I am an academic and software engineer with a PhD in Computer Science from UFABC University in Brazil and a Master's degree in Information Technology from UNITEN University in Malaysia. I have experience combining university teaching with work in software development, data, and artificial intelligence, which helps me present theoretical concepts in a practical way linked to real-world applications.

I offer private tutoring in programming, software engineering, databases, algorithms, web application development, and data analysis, focusing on simplifying complex concepts and developing logical thinking and problem-solving skills. I use a gradual approach tailored to each student's level, needs, and learning objectives.

Whether you are starting your programming journey, need support with a university subject, or want to develop your skills in Python, Django, databases, software engineering, or artificial intelligence, I will help you build a deep understanding and real confidence in applying what you learn.
Education
- PhD in Computer Science from the Federal University of ABC (UFABC), Sao Paulo, Brazil.
- Master's degree in Information Technology from the National University of Tenaga (UNITEN), Malaysia.
- Specializes in software engineering, programming, databases, web application development, data analysis, and artificial intelligence applications.
Experience / Qualifications
- Programming and software development: Python, JavaScript, TypeScript, Django, FastAPI, React
Databases: SQL, PostgreSQL, BigQuery, Database Design and Relational Modeling
Data engineering and analysis: Python, Pandas, ETL processes, Airflow, data processing, analysis, and visualization
Artificial Intelligence: Generative AI, Large Language Models, Natural Language Processing, and the integration of AI technologies into applications.
Software Engineering: Systems analysis and design, object-oriented programming, algorithms and data structures, software engineering and software project management
Cloud computing: AWS services, Google Cloud Platform, and Microsoft Azure
DevOps tools: Git, GitHub, GitLab, CI/CD pipelines, Docker, and Kubernetes
- Teaching experience: Teaching courses in programming, software engineering, databases, systems analysis and design, and web and mobile application development at the university level.
Age
Teenagers (13-17 years old)
Adults (18-64 years old)
Student level
Beginner
Intermediate
Advanced
Duration
60 minutes
The class is taught in
Arabic
English
Availability of a typical week
(GMT -04:00)
New York
at teacher icon
Online via webcam
Mon
Tue
Wed
Thu
Fri
Sat
Sun
00-04
04-08
08-12
12-16
16-20
20-24
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Python is one of the best, if not the best, language to start learning programming. It is also one of the most widely used languages today, especially in cutting-edge areas such as machine learning.

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Properties, methods and representation of the real world.
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Why duplicating code is a bad idea.
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13. The keyword super
Communication between parent and child in the classroom.
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15. Composition vs. Inheritance
Choosing the right architecture.
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Write readable, scalable, and maintainable code.
17. Common mistakes made by beginners
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19. Assessment Quiz (Multiple Choice Questions)
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Most of my students fall into one of three groups. Some are at GCSE or A-Level and need to get comfortable with a language before an exam or a coursework deadline. Some are at university, usually on an engineering or computing degree, and have hit something specific that isn't clicking: pointers, memory, recursion, object orientation, or a project that won't compile. And some are adults starting from nothing, often because work has started asking them to automate things.

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Message me with what you're studying and what's giving you trouble, and I'll tell you honestly how I'd approach it.
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Solve realistic exercises and small projects
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Suitable for students who want support with their school curriculum (IGCSE/British/American) or anyone who wants to start programming from scratch
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I offer engaging and easy-to-understand online classes in Mathematics, Physics, and Computer Science.
My lessons are designed to make difficult concepts simple through clear explanations and practical examples.
I adapt my teaching style to each student’s level, learning pace, and individual needs.
Whether you need help with school topics, homework, exam preparation, or building strong fundamentals, I’m here to help. My goal is to make learning enjoyable while helping every student improve their confidence and achieve better results.
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This interdisciplinary program equips you with the fundamental skills of a modern engineer by combining applied mathematics, physics, and scientific computing. Designed as a coherent whole, this course shows you how these three disciplines work together to solve real-world engineering problems.

Mathematics Module: Numerical analysis, computational linear algebra, differential equations and optimization methods adapted to physical modeling.

Physics Module: Mechanics of systems, thermodynamics, electromagnetism and wave phenomena with rigorous mathematical equation formulation.

Computer Science Module: Scientific programming in Python, numerical simulation, algorithmic solving of physical and mathematical problems, data visualization.

Pedagogical approach: Each theoretical concept is immediately put into practice through integrated projects. For example, you will mathematically model a pendulum, establish the physical equations of its motion, and then develop a Python program to simulate and visualize its behavior.
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What they'll do:
✓ Build real projects in Scratch: a working game, an interactive animation, a story they coded
✓ Program virtual robots: solve real-world challenges (navigate a maze, automate a task, build a system)
✓ Create in Minecraft Education: design worlds, automate constructions, solve logic problems
✓ Experiment with different languages: not just learn "the right way," but understand that there are many ways to think about a problem
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Most children's coding courses say "here's the code, copy it." We teach "what problem are we trying to solve? How could we break it into steps? What options do we have?"
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Discover the art of programming with Python courses tailor-made to meet your specific needs. Whether you are a beginner, intermediate or professional, my lessons are suitable for all levels.

Why Choose My Courses?

Personalized Teaching Approach: Each course is tailored to your skill level and individual goals.

Practical Experience: Learn by doing with real-world projects that build your understanding and skills.

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As a Python expert, I have a passion for teaching and sharing my knowledge. My goal is to guide you effectively in your learning journey.

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Start your journey to Python mastery now by booking your first lesson. Whether you aspire to enter the development field or hone your existing skills, these courses are designed for you.
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With over seven years of experience in teaching Computer Science & Information Technology (ICT), I have developed a strong expertise in delivering high-quality education across multiple internationally recognized curricula, including Cambridge IGCSE, GCSE, A-Levels, O-Levels, and Checkpoint. My passion lies in equipping students with coding, cybersecurity, and digital literacy skills, ensuring they are well-prepared for the evolving demands of the digital world.

Expertise & Teaching Areas:
✅ Programming & Software Development: Python, Java, C++
✅ Cybersecurity: Ethical hacking, data protection, network security
✅ Digital Literacy: ICT applications, online safety, cloud computing
✅ Data Science & AI: Data analysis, machine learning fundamentals
✅ Web Development: HTML, CSS, JavaScript

Curriculum & Pedagogical Experience:
🔹 Cambridge IGCSE & GCSE ICT & Computer Science – Teaching core and extended syllabi, focusing on programming logic, databases, and networking.
🔹 Cambridge A-Levels & O-Levels Computer Science – Preparing students for advanced computing concepts, problem-solving, and algorithm development.
🔹 Cambridge Checkpoint ICT – Building foundational skills in digital technology and computer applications.

Professional Impact:
📌 Mentored students to achieve top grades in Cambridge ICT & Computer Science exams.
📌 Developed interactive lesson plans integrating real-world applications of technology.
📌 Conducted coding boot camps and cybersecurity workshops to enhance practical learning.
📌 Guided students in project-based learning, including app development and website design.

With a strong commitment to student-centered learning and technological innovation, I am dedicated to shaping future tech leaders and empowering learners with skills relevant to careers in technology, data science, and software development.
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• Teaching curricula, syllabuses, courses:
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o Programming and computer courses for all educational levels (from primary to university)
o Microsoft Windows, Word, Excel, PowerPoint, Outlook, MS-Project
o Programming, C, C++, VB.NET, C#, Python, Database, SQL, MQL, VBA
o HTML, CSS, JavaScript, Angular
o Different database systems
o Data analysis using Excel
o Computer and Information Colleges Curricula
o Using artificial intelligence in life and work

• Master office applications to improve your job performance.
• Prepare yourself to work as a Front-End / Back-End / Full Stack Developer
• Theoretical and practical training for market requirements
• Don't miss out on technology. Lessons are designed for the elderly, in a simple and understandable way (use of computers and their programs, use of mobile phones, dealing with the Internet and social media).
• Lessons are available in person or online.
verified badge
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1: Demystifying AI (What exactly is it?)
AI is not a movie robot: Difference between fiction and reality.

How it works (simply): The image of the "giant library": AI has read billions of books and uses them to predict the continuation of a sentence or create an image.

Where is it already present? Spell checkers, Netflix/YouTube suggestions, GPS, and voice assistants (Siri/Alexa).

2: Using AI to make life easier
Conversing with AI (ChatGPT, Claude, Gemini):

Ask him to write an administrative email or a complex letter.

Summarize a long newspaper article or document.

Plan a travel itinerary or find recipe ideas with what's left in the fridge.

AI for creativity and memory:

Generate images to illustrate a birthday card (Midjourney, DALL-E).

Using AI to restore or colorize old family photos.

3: Learning to "talk" to AI (The Art of the Prompt)
The context method: Why "Give me a cake recipe" is less effective than "I am allergic to gluten and I am hosting 4 people, give me a simple chocolate cake recipe".

The expert's role: Learning to tell AI "Act like a travel guide" or "Act like an expert gardener".

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"Hallucinations": Understand that AI can make false claims with complete certainty (never take medical or legal advice from AI without verification).

Privacy protection:

Never give sensitive data (social security number, passwords, bank details) to an AI.

Knowing that everything we write to the AI is potentially used to train it.

Spotting "Deepfakes":

How to recognize a doctored image or video (details on the hands, strange reflections, slightly metallic voice).

Verify the information: the golden rule of cross-referencing sources.

5: Ethics and Impacts (To go further)
Copyright: Who owns an image created by AI?

The environmental impact: The water and energy consumption of AI servers.

The future: Will AI replace us or assist us?
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These courses are part of a structured and progressive training in Object-Oriented Programming (OOP) with JavaScript, designed for beginner or intermediate developers who want to understand in depth how the language works, write clearer, more maintainable code and prepare themselves calmly for modern frameworks like React ⚛️.

Object-Oriented Programming is often perceived as complex or abstract.

My goal is simple: to make it logical, concrete, and immediately applicable.

🎯 Training Objectives

Upon completion of this training, you will be able to:

Understanding what Object-Oriented Programming really is (and when to use it)
Create and manipulate objects in JavaScript in a clean and efficient way
Use ES6 classes, constructors, and methods with confidence
Mastering this, the prototype, and the instantiation logic
Apply encapsulation, inheritance, and polymorphism without confusion
Avoiding common mistakes made by OOP beginners
Structure your JavaScript code like a professional developer

📖 Training Plan – Object-Oriented Programming in JavaScript
1. Introduction to Object-Oriented Programming 🧠
Understanding the concept, objectives and benefits of OOP.
2. Procedural Programming vs. OOP
Why unstructured code quickly becomes unmanageable.
3. Objects in JavaScript
Properties, methods and representation of the real world.
4. The keyword this
Understanding the execution context (often poorly understood).
5. Limitations of simple objects
Why duplicating code is a bad idea.
6. Constructive functions
Create multiple objects from the same model.
7. The keyword new
What it's actually doing under the hood.
8. The prototype
Sharing methods and memory optimization.
9. ES6 Classes
Modern syntax and best practices.
10. The builder
Proper initialization of objects.
11. Data Encapsulation
Protect the internal state of objects.
12. Inheritance between classes
Reusing code intelligently.
13. The keyword super
Communication between parent and child in the classroom.
14. Polymorphism
The same behavior, several forms.
15. Composition vs. Inheritance
Choosing the right architecture.
16. Best practices in OOP
Write readable, scalable, and maintainable code.
17. Common mistakes made by beginners
Pitfalls to absolutely avoid.
18. Guided practical exercise
Creation of a concrete class (product, user, etc.).
19. Assessment Quiz (Multiple Choice Questions)
To validate the actual understanding of the concepts.

🛠️ Teaching method: Understand before writing

This training program is based on a progressive and pragmatic approach:
Clear and illustrated explanations
Concrete examples from real projects
Simple but effective exercises
Constant questioning to avoid rote learning
Adaptation to the learner's level and pace
Here, we don't "recite OOP" — we understand it.

🚀 Learner's result

At the end of the training, you will not only know how to write a JavaScript class.
You will know:

1- Why does it exist?
2- When to use it
3- and when not to use it

You will leave with:
a solid understanding of OOP
a cleaner and more professional code
an ideal foundation for learning React, Node.js or any other modern framework
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I teach Python, C and C++ one to one, online or in person around Birmingham.

Most of my students fall into one of three groups. Some are at GCSE or A-Level and need to get comfortable with a language before an exam or a coursework deadline. Some are at university, usually on an engineering or computing degree, and have hit something specific that isn't clicking: pointers, memory, recursion, object orientation, or a project that won't compile. And some are adults starting from nothing, often because work has started asking them to automate things.

Lessons are built around code you can run. I'll ask what you're working on and where you got stuck, then we write something small together, break it on purpose, and work out what the error message is actually telling you. Reading error messages properly is half of programming and almost nobody teaches it.

Areas I cover regularly:

Python from the basics through functions, data structures, file handling, object orientation and libraries like NumPy and Pandas
C and C++, including the parts that cause most of the trouble: pointers, memory management, structs, classes and compilation
GCSE and A-Level Computer Science across all exam boards, including pseudocode, trace tables and written paper technique
A-Level NEA projects and university coursework, plus debugging sessions and code review
Embedded C for Arduino, ESP32 and microcontroller projects, which is the work I do professionally

After each lesson I send written notes covering what we did, worked through step by step, so you have something to revise from later rather than trying to remember what was on screen.

First session is free and lasts 30 minutes. We use it to work out what you need and whether I'm the right person for it. If I'm not, I'll say so and point you somewhere better.

Message me with what you're studying and what's giving you trouble, and I'll tell you honestly how I'd approach it.
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I'm a working MEP engineer, currently building Python automation for Revit workflows daily - plan checks, model coordination, and repetitive drafting tasks. I teach other engineers, architects, and BIM professionals how to do the same, using pyRevit and real project workflows, not toy examples.

Topics include:
pyRevit fundamentals and setup
Automating repetitive Revit tasks (model checks, plan generation, data extraction)
Writing custom scripts for your firm's specific workflows
Applying Python automation to real MEP/BIM projects
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Python is one of the easiest and most in-demand programming languages in today's job market, used in artificial intelligence, data analysis, web development, and game development. As an IT teacher with experience in school teaching, I designed these lessons to be practical and interactive:

Programming basics (variables, conditions, loops)
Solve realistic exercises and small projects
A simplified approach perfectly suited for beginners with no prior experience.
Suitable for students who want support with their school curriculum (IGCSE/British/American) or anyone who wants to start programming from scratch
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I offer engaging and easy-to-understand online classes in Mathematics, Physics, and Computer Science.
My lessons are designed to make difficult concepts simple through clear explanations and practical examples.
I adapt my teaching style to each student’s level, learning pace, and individual needs.
Whether you need help with school topics, homework, exam preparation, or building strong fundamentals, I’m here to help. My goal is to make learning enjoyable while helping every student improve their confidence and achieve better results.
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This interdisciplinary program equips you with the fundamental skills of a modern engineer by combining applied mathematics, physics, and scientific computing. Designed as a coherent whole, this course shows you how these three disciplines work together to solve real-world engineering problems.

Mathematics Module: Numerical analysis, computational linear algebra, differential equations and optimization methods adapted to physical modeling.

Physics Module: Mechanics of systems, thermodynamics, electromagnetism and wave phenomena with rigorous mathematical equation formulation.

Computer Science Module: Scientific programming in Python, numerical simulation, algorithmic solving of physical and mathematical problems, data visualization.

Pedagogical approach: Each theoretical concept is immediately put into practice through integrated projects. For example, you will mathematically model a pendulum, establish the physical equations of its motion, and then develop a Python program to simulate and visualize its behavior.
Good-fit Instructor Guarantee
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