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Since May 2021
Instructor since May 2021
The use of technology to help enhance the knowledge and understanding of complex subjects.
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From 56 C$ /h
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1. Engaging and encouraging teaching professional who provides a strong educational experience.
2. Uses technology to help enhance the knowledge and understanding of complex subjects.
3. Easily adaptable to different learning styles.
4. Following institution’s guidelines to strengthen the knowledge and overall performances.
5. Assisting students in creating their own dramatic pieces.
6. Organizing and managing the learning environment.
7. Directing performance rehearsals.
Extra information
I’ve been a professional School Educator since 2000. I believe in maintaining a positive mindset, creating partnerships with a purpose, and always striving for significant outcomes. When you work with me, you should expect collaboration with transparency and consistency. Advanced experience building and strengthening a team of professionals to provide unique teaching experiences that reach and engage our students. Strong and adaptable English coupled with theatre skills; in addition, looking to bring my leadership skills to a new class of driven students.
Location
location type icon
Online from United Kingdom
About Me
I’ve been a professional School Educator since 2000. I believe in maintaining a positive mindset, creating partnerships with a purpose, and always striving for significant outcomes. When you work with me, you should expect collaboration with transparency and consistency. Advanced experience building and strengthening a team of professionals to provide unique teaching experiences that reach and engage our students. Strong and adaptable English coupled with theatre skills; in addition, looking to bring my leadership skills to a new class of driven students.
Education
Bachelor Degree: American Hotel & Motel Association
Certificates: Conventional Management & services
Switzerland, 1993-1996
-Studies in Mass communications, Psychology & Business Management.
-Experience with U.K. Television as T.V. presenter.
-Completed Thames Drama & Theater program.

Extra Studies & Certifications:
Middle East Association of National Schools, A course in the essentials of the American education, graduated with Distinction. Covered: Education, Theory, Philosophy and application. Effective planning and use of instructional materials. Methodology and classroom management. Student assessment, testing and portfolios.
The Mountbatten Institute: Class Management, Teacher development, Supervising, Internet research and Statistic analysis. Training new staff (psychological approaches)
Staff Development Workshop: American schools, Learning styles, Management and Student relationships & parents.
Key Qualifications
Trained in Elementary (K-6) and Business Education. Classroom Management.
Planning and instructing each subject area with the use of a wide variety of teaching aids, motivational and implementation strategies to engage students in active learning.
Incorporated learning modality principles into my classroom and individual instructional styles. Developed and conducted inter-grade activities. Implemented technological approaches to subject material. Researched educational resources on the Internet - assisted with information retrieval.
Experienced Educator
Designed and conducted various faculty and student workshops for training new teachers, and classroom management skills.
Written school programs to serve administrated purposes & school reports to advance within the scope and sequence.
Headed yearbook designs and publishing for the school.
Computer Skills
• Software (IBM environments): Microsoft Windows® and Microsoft Word, Microsoft Excel, Microsoft PowerPoint, Books in Print, Microsoft Access, Microsoft FrontPage, User Interfaces and all related software.
• Working knowledge of the Internet
• System installations and debugging; terminal/printer operations
• Networking & Troubleshooting.
Experience / Qualifications
Professional Development in Education
• Sun of Knowledge British International School, September 2016 to present
• Position: English HOD & MS Teams Coordinator
Middle School/ High School:
1. Head of English– Grades 7-9.
2. MS Teams Coordinator
3. Staff Training and Workshop Supervisor.
4. Drama and Theatre Head
5. Drama & Theater Productions ( Directed & written two school plays)
6. Original events and programs organizer

• Narmar American College, September 2012 to 2016
• Position: English Supervisor
Elementary/ Middle School/ High School:
1. English Language arts – Grades 5-9.
2. Staff Training and Workshops
3. Drama and Theatre Coordinator
4. Drama & Theater Productions


• Egyptian American International School, September 2007 to 2012
Elementary/ Middle School:
1. English Language teacher
5. Staff Training and Workshops
2. Social Studies & world history
3. Drama Director
4. Drama & Theater Production
5. Talent Show organizer and presenter
6. Created original drama programs for basic theater 101


• Integrated Thebes American College, September 2002 to 2007
Elementary/ Middle School:
1. Middle School Head, September 2005 to 2007
2. English Language & Literature
3. Social Studies & world history
4. Drama & Theater Production
5. Newspaper & journalism skills manager
6. Sports & Activities Coordinator

• Rajac American School, 2000-2002
High School Teacher:
1. English Language & Literature
2. Social Studies & world history
3. Computer Science Head
(Research, Events & Media Management, Budget & project management, Microsoft Access, Web design, Front page, MS Excel, MS word, Windows interfaces, Network communications & public relations.)
• Track Education Center, May 1998 to August 2000
English & Computer science teacher (Adult Education)
British Syllabus, Language arts and Phonics
Age
Children (7-12 years old)
Teenagers (13-17 years old)
Adults (18-64 years old)
Seniors (65+ years old)
Student level
Beginner
Intermediate
Advanced
Duration
30 minutes
45 minutes
60 minutes
The class is taught in
English
Arabic
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
Dedicated to enthusiastic and dynamic teaching as a means of creating and nurturing a lifelong love of knowledge.
Experienced in:
1. Engaging and encouraging teaching professional who provides a strong educational experience.
2. Uses technology to help enhance the knowledge and understanding of complex subjects.
3. Easily adaptable to different learning styles.
4. Following institution’s guidelines to strengthen the knowledge and overall performances.
5. Assisting students in creating their own dramatic pieces.
6. Organizing and managing the learning environment.
7. Directing performance rehearsals.
Read more
IGCSE و GCSE أو ESL و كل ما يخص اللغه الإنجليزية أو دراما و دروس خاصة بكل ما يخص الكمبيوتر
TUTOR مختصًا بالتدريب والتدريس حتى GCSE واللغة الإنجليزية. ... كما نقدم اللغة الإنجليزية كلغة أجنبية (EFL / ESOL). ...
من سن صغير إلى الكبار ، مع موقف إيجابي و تقديم شيء فريد وجذاب في جلسة أو درس تعليمي
An enjoyable, effective and comprehensive list of courses that will help you prepare you for your use of English while enjoying the process. We will concentrate on a particular area, that you want to improve or concentrate on your IGCSE or GCSE. Also you can choose from several categories or specific exam specifications.
This course enables learners to:
develop the ability to communicate clearly, accurately and effectively when speaking and writing
use a wide range of vocabulary, and the correct grammar, spelling and punctuation
develop a personal style and an awareness of the audience being addressed.
Read more
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You will learn Systematic Reasoning & Logical Thinking which is a requirement for entering Computer Science program in many universities.
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🐍 Python Course – Learn to code and create your projects!

This course is for anyone who wants to:

✅ Learn Python from the beginning
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📚 On the program:

Variables

Loops

Functions

Data structures

Practical projects for implementation

💡 How does the course work?

Clear explanations to understand the programming logic

Targeted exercises adapted to your level

Concrete projects to create your own applications

🎯 My goal:

Helping you understand the logic behind the code

Progress at your own pace

Create your own projects in Python and gain independence
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A- TOPICS YOU CAN EXPLORE AND MASTER:
1- PYTHON FOUNDATIONS
• Variables, data types, operators, conditional structures, loops, functions, modules, files, exceptions, and object-oriented programming
• Lists, tuples, dictionaries, sets, comprehensions, debugging, and writing clear, reusable, well-structured code
• Jupyter Notebook, Anaconda, Visual Studio Code, virtual environments, and package management

2 — PROGRAMMING, ALGORITHMS, AND COMPUTER SCIENCE FOUNDATIONS
• Algorithmic thinking, problem decomposition, pseudocode, flowcharts, procedural programming, object-oriented programming, recursion, and modular program design
• Fundamental data structures including arrays, lists, stacks, queues, dictionaries/hash tables, sets, trees, graphs, and their appropriate use
• Searching, sorting, traversal, algorithm efficiency, computational complexity, Big-O notation, debugging, testing, code organization, and problem-solving strategies
• Practical programming exercises ranging from beginner problems to university-level algorithmic and computational challenges

3- DATA PREPARATION AND EXPLORATION
• NumPy and pandas for importing, cleaning, transforming, filtering, grouping, reshaping, and merging data
• Missing values, duplicates, outliers, inconsistent formats, data leakage, and data-quality validation
• Exploratory data analysis using descriptive statistics, Matplotlib, Seaborn, and graphical interpretation

4- MATHEMATICAL FOUNDATIONS
• Linear algebra, vectors, matrices, derivatives, optimization, probability, and statistics
• Loss functions, gradients, distance measures, regularization, likelihood, and model complexity
• Mathematical concepts are explained according to the learner’s level and the requirements of the selected algorithms

5- SUPERVISED MACHINE LEARNING
• Linear and polynomial regression, logistic regression, and regularized models
• k-nearest neighbours, decision trees, random forests, gradient boosting, support vector machines, and Naive Bayes classifiers
• Classification, regression, model assumptions, decision boundaries, feature importance, and interpretation of results

6- UNSUPERVISED LEARNING
• Clustering using k-means, hierarchical clustering, and density-based methods
• Principal component analysis, dimensionality reduction, anomaly detection, and pattern or structure discovery
• Method selection, evaluation of data structure, and interpretation of results without predefined labels

7- MODEL EVALUATION AND IMPROVEMENT
• Training, validation, and test sets; cross-validation; hyperparameter optimization
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• Underfitting, overfitting, bias–variance trade-off, class imbalance, feature engineering, feature selection, scaling, and regularization

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• Transformer architecture, tokens, embeddings, attention mechanisms, prompt engineering, Retrieval-Augmented Generation (RAG), and model evaluation
• Use of artificial-intelligence APIs, vector databases, document-retrieval systems, and structured AI-enabled workflows when relevant
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11- TOOLS AND LIBRARIES
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12- PROJECTS, RESEARCH, AND INTERVIEW PREPARATION
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-------------------------------------------------------------------------------------------------------------------------------------------------------------------------------
B- PERSONALIZED TUTORING: LEARNING HOW TO REASON
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My goal is not simply to help you run an algorithm. It is to help you understand why it is appropriate, how it learns from data, how to evaluate it correctly, why it may fail, and how to build a reliable, interpretable, and scientifically rigorous solution.
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Students and career changers who want a solid project for their portfolio
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This course is designed for students and adolescents who want to build a strong beginner-friendly foundation in Computer Science.
Whether you're completely new to Computer Science or need help with a specific programming subject, the course can be customized to match your needs.
Need help with C++ or programming? You can provide me with your syllabus, course outline, or the topics you're studying, and I'll tailor the lessons around what you need to learn.
Learning with friends? Group lessons are also available, allowing you to learn together while following the same customized course.
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Scenario analysis, Year, Rounding, Today, Bdnb, Bdnbval, Bdsum, Search, Column, Copy/paste in values, Copy/paste with transposition, Consolidation, Date, Datedif, Determat, Dollar, Right, Righterg, Equiv, Esterror, Estna, Frequency, Filter (simple and advanced), Format of cells, Left, Large.Value, Printing of documents, Index, Indirect, Inversemat, Day, Weekday, Line, Matrix, Max, Maxa, Max.Si, Min , Mina, Mina.If, Formatting of cells and ranges, Month, Average, Average.If, Nb, Nb.If, Nbval, Naming of cells and ranges, No, Small.value, Product, Productmat, Protection of cells, Lookup (Lookup), Lookupv (VLookup), Lookuph (HLookup), If (If), If.Not.Disp, If.Conditions, Iferror, Sum, Sumproduct, Sum.If, Sum.If.Set, Substitute , Pivot tables, Sorting, Cell locking

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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:
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🔹 Cambridge A-Levels & O-Levels Computer Science – Preparing students for advanced computing concepts, problem-solving, and algorithm development.
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Professional Impact:
📌 Mentored students to achieve top grades in Cambridge ICT & Computer Science exams.
📌 Developed interactive lesson plans integrating real-world applications of technology.
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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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This course offers a comprehensive exploration of Information Technology, data center infrastructure, guiding students through the entire lifecycle—from initial design and planning to day-to-day operations and long-term performance optimization. Students will learn the critical components of data center design, including site selection, power and cooling systems, space planning, networking, and physical security. The course also covers operational best practices, monitoring tools, energy efficiency strategies, disaster recovery planning, and emerging trends. By integrating technical, environmental, and management perspectives, students will gain the knowledge and skills required to build and maintain high-performance, cost-effective, and sustainable data center environments.
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This course introduces students to the fundamentals of Information and Communication Technology (ICT) and its role in modern society. Topics include computer hardware and software, digital communication tools, internet technologies, data management, cybersecurity, and emerging trends. Students will gain practical skills in using productivity software, conducting online research, and understanding the ethical and responsible use of digital resources. The course emphasizes both technical proficiency and digital literacy, preparing learners to confidently navigate and contribute to a technology-driven world.
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🐍 Python Course – Learn to code and create your projects!

This course is for anyone who wants to:

✅ Learn Python from the beginning
✅ Strengthen their programming skills

📚 On the program:

Variables

Loops

Functions

Data structures

Practical projects for implementation

💡 How does the course work?

Clear explanations to understand the programming logic

Targeted exercises adapted to your level

Concrete projects to create your own applications

🎯 My goal:

Helping you understand the logic behind the code

Progress at your own pace

Create your own projects in Python and gain independence
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A- TOPICS YOU CAN EXPLORE AND MASTER:
1- PYTHON FOUNDATIONS
• Variables, data types, operators, conditional structures, loops, functions, modules, files, exceptions, and object-oriented programming
• Lists, tuples, dictionaries, sets, comprehensions, debugging, and writing clear, reusable, well-structured code
• Jupyter Notebook, Anaconda, Visual Studio Code, virtual environments, and package management

2 — PROGRAMMING, ALGORITHMS, AND COMPUTER SCIENCE FOUNDATIONS
• Algorithmic thinking, problem decomposition, pseudocode, flowcharts, procedural programming, object-oriented programming, recursion, and modular program design
• Fundamental data structures including arrays, lists, stacks, queues, dictionaries/hash tables, sets, trees, graphs, and their appropriate use
• Searching, sorting, traversal, algorithm efficiency, computational complexity, Big-O notation, debugging, testing, code organization, and problem-solving strategies
• Practical programming exercises ranging from beginner problems to university-level algorithmic and computational challenges

3- DATA PREPARATION AND EXPLORATION
• NumPy and pandas for importing, cleaning, transforming, filtering, grouping, reshaping, and merging data
• Missing values, duplicates, outliers, inconsistent formats, data leakage, and data-quality validation
• Exploratory data analysis using descriptive statistics, Matplotlib, Seaborn, and graphical interpretation

4- MATHEMATICAL FOUNDATIONS
• Linear algebra, vectors, matrices, derivatives, optimization, probability, and statistics
• Loss functions, gradients, distance measures, regularization, likelihood, and model complexity
• Mathematical concepts are explained according to the learner’s level and the requirements of the selected algorithms

5- SUPERVISED MACHINE LEARNING
• Linear and polynomial regression, logistic regression, and regularized models
• k-nearest neighbours, decision trees, random forests, gradient boosting, support vector machines, and Naive Bayes classifiers
• Classification, regression, model assumptions, decision boundaries, feature importance, and interpretation of results

6- UNSUPERVISED LEARNING
• Clustering using k-means, hierarchical clustering, and density-based methods
• Principal component analysis, dimensionality reduction, anomaly detection, and pattern or structure discovery
• Method selection, evaluation of data structure, and interpretation of results without predefined labels

7- MODEL EVALUATION AND IMPROVEMENT
• Training, validation, and test sets; cross-validation; hyperparameter optimization
• Accuracy, precision, recall, specificity, F1 score, ROC–AUC, confusion matrices, MAE, MSE, RMSE, and R2
• Underfitting, overfitting, bias–variance trade-off, class imbalance, feature engineering, feature selection, scaling, and regularization

8- DEEP LEARNING
• Neural-network foundations, activation functions, forward propagation, backpropagation, and gradient descent
• Multilayer perceptrons, convolutional neural networks, recurrent neural networks, and Transformer foundations
• TensorFlow, Keras, or PyTorch depending on the learner’s project and working environment

9- ARTIFICIAL INTELLIGENCE APPLICATIONS
• Natural language processing, text classification, embeddings, sentiment analysis, and foundations of language models
• Computer vision, image classification, fundamental principles of object detection, and image preprocessing
• Recommendation systems, forecasting, anomaly detection, intelligent automation, and decision-support applications

10- GENERATIVE AI AND LARGE LANGUAGE MODELS
• Transformer architecture, tokens, embeddings, attention mechanisms, prompt engineering, Retrieval-Augmented Generation (RAG), and model evaluation
• Use of artificial-intelligence APIs, vector databases, document-retrieval systems, and structured AI-enabled workflows when relevant
• Reliability, hallucinations, bias, privacy, responsible use, and appropriate human validation

11- TOOLS AND LIBRARIES
• Python, NumPy, pandas, Matplotlib, Seaborn, scikit-learn, SciPy, Statsmodels, TensorFlow, Keras, and PyTorch
• Jupyter Notebook, Anaconda, Visual Studio Code, Git, GitHub, SQL, Excel, and Power BI when useful to the project
• Additional libraries may be introduced depending on the selected specialization and dataset

12- PROJECTS, RESEARCH, AND INTERVIEW PREPARATION
• Complete projects covering data preparation, model development, evaluation, interpretation, and presentation of results
• University assignments, dissertations, theses, research projects, portfolio projects, technical interviews, and professional applications
• Code review, debugging, documentation, reproducibility, model comparison, and communication of results

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B- PERSONALIZED TUTORING: LEARNING HOW TO REASON
Machine learning and artificial intelligence become much more accessible when mathematics, algorithms, Python code, data, and real-world applications are clearly connected.

My lessons help you move beyond simply copying code or using models as “black boxes.” You will learn how to define the problem correctly, prepare the data, select an appropriate algorithm, understand how it works, train and evaluate the model, diagnose errors, improve performance, and interpret results rigorously and responsibly.

Each lesson is personalized according to your current level, mathematical background, programming experience, dataset, university work, research project, interview preparation, or professional objective. We begin by identifying your existing knowledge, software environment, expected outcomes, and main conceptual or technical difficulties. We then establish a structured learning plan.

The first lesson combines a discussion of your background, objectives, and tutoring needs; an initial assessment of your current knowledge; personalized planning and organization of future sessions; and a short trial lesson to determine the most effective learning approach.

A typical session may include conceptual explanation, development of mathematical intuition, live coding, guided implementation, model evaluation, technical problem solving, and a concise summary of the next steps.

You may work with your own dataset, university assignment, research project, or professional problem, provided that confidential information is handled appropriately. I can also provide structured examples and datasets suited to your level.

My goal is not simply to help you run an algorithm. It is to help you understand why it is appropriate, how it learns from data, how to evaluate it correctly, why it may fail, and how to build a reliable, interpretable, and scientifically rigorous solution.
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Whether you're preparing for IB, IGCSE, GCSE, or simply want to build confidence in Mathematics, I'm here to help. I have over 3 years of teaching experience and 7 years of professional software engineering experience, allowing me to explain mathematical concepts in a clear, logical, and practical way.

My lessons are tailored to each student's needs and learning pace. I believe understanding the "why" behind a concept is far more valuable than memorising formulas. During lessons, I use carefully prepared practice questions and exam-style exercises, many of which I create myself using professional typesetting tools like LaTeX that is used by IB and Cambridge directly.

I encourage students to ask questions freely and develop strong problem-solving skills. Whether you're aiming to improve your grades, prepare for school exams, or study for international curricula such as IB, IGCSE, or GCSE, I'll help you build confidence step by step in a supportive learning environment.

I use a Pen Display Tablet to write on it using Goodnotes as the writing app, which I share the link to the whiteboard used with the students.

Lessons are available online or in-person (within 30 mins train travel from Shinjuku, Tokyo), and are conducted in English.
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I am a certified computer science professor who helps graduates and students with exam retakes and competitions. I tutor preparatory classes (MPSI, MP, PSI, ECS, etc.) up to university level (Bachelor's & Master's in Science or Economics). My method is based on understanding the lessons, practicing correctly, organizing the concepts, and completing exercises and problems of your choice. Each session includes verbal exercises, methodological tips, and subsequent personalized advice. You will receive a video recording and an annotation in PDF format after each session. The online courses are conducted via Google Meet, 5 days a week, with flexible scheduling. I am available between sessions to answer questions. Contact me for an initial consultation.
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As a Master's student in Data Science at EPFL, a graduate of CentraleSupélec (ranked in the top 3% of my class) and holder of a Bachelor's degree in microtechnology from EPFL, I offer tutoring in mathematics, physics and computer science, from primary school to university level.
My teaching experience
I was a student teaching assistant at EPFL for 8 courses, working with over 400 students. I currently lead the linear algebra and ICC (Information, Computation, Communication) exercise sessions. Each week, I adapt my explanations to each student's level: that's what I love most about teaching.
What I propose
• Primary and secondary school: consolidate the basics (calculation, fractions, geometry, equations), regain confidence and improve methodology.
• Gymnasium / high school (maturity, baccalaureate): functions, analysis, probabilities, vectors, mechanics, electricity, exam preparation.
• University / EPF / preparatory classes: analysis, linear algebra, probability and statistics, numerical analysis, programming (Python, C/C++).
My method
I begin by identifying the real obstacle: a misunderstanding of the concept, a lack of methodology, or stress. Then, I build the sessions based on the student's lessons and exercises. The goal isn't just to pass the next test, but to understand the material and become independent.
Whether you need occasional homework help, regular support, or intensive exam preparation, I adapt to your needs.
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Your application is running on your machine... and then what? Knowing how to containerize and automate deployments has become an expected skill for every developer, and it's often what junior candidates lack during interviews. I'm a full-stack engineer and I implement these pipelines in production (Docker, GitLab CI/CD, GitHub Actions, GCP Cloud Run, Kubernetes). I'll teach you how to do the same, on your own project.

Program (adapted to your level):

Docker basics: images, containers, Dockerfiles, volumes, networks
Docker Compose: Launch a complete app locally (front end + API + PostgreSQL database)
Optimizing your images: multi-stage builds, lightweight images, security best practices
Continuous integration: your first pipeline with GitHub Actions or GitLab CI
Automatic quality control: tests, linting, and formatting are performed with each push.
Build & registry: build and publish your images (Docker Hub, GCP Artifact Registry)
Continuous deployment: put your app online in the cloud (GCP Cloud Run), manage environment variables and secrets
Final project: a complete pipeline, from git push to online application, including database migrations

For who ?

Developers (Node.js, React, Python, PHP...) who want to master deployment
Students and career changers who want a solid project for their portfolio
Teams or freelancers who want to automate their production deployments

Prerequisites: knowledge of how to use Git and having already coded a small application (in any language).

Each session is practical: we work directly on your code, and you leave with a working pipeline.

Feel free to contact me to discuss it!
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This course is designed for students and adolescents who want to build a strong beginner-friendly foundation in Computer Science.
Whether you're completely new to Computer Science or need help with a specific programming subject, the course can be customized to match your needs.
Need help with C++ or programming? You can provide me with your syllabus, course outline, or the topics you're studying, and I'll tailor the lessons around what you need to learn.
Learning with friends? Group lessons are also available, allowing you to learn together while following the same customized course.
Good-fit Instructor Guarantee
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