I offer programming lessons for students who want to build strong foundations, improve their problem-solving skills, or get help with coursework and projects. I am a Master’s student in HealthTech and Robotics in Strasbourg, with a strong background in engineering, mathematics, programming, and technical problem solving. I teach in a clear, patient, and structured way, with a focus on helping students understand the logic behind the code, not just copy solutions. Depending on the student’s level and needs, I can help with programming fundamentals, algorithms, problem solving, debugging, and writing cleaner code. I mainly teach Python, MATLAB, C, and C++, and I can also help students understand basic embedded programming concepts and microcontroller-related work. My goal is to make programming more understandable, less intimidating, and more practical, while helping each student build confidence and become more independent.

I offer one to one tutoring that teaches students how to use Python to solve algorithm and data structure problems. The focus is on building strong problem solving habits and learning how to translate ideas into clear, correct code. Topics include core Python fundamentals, common data structures such as lists, stacks, queues, sets, and dictionaries, and algorithmic techniques such as searching, sorting, recursion, greedy methods, dynamic programming (memonization, subproblem reduction and so on). Each lesson is adapted to the student’s level and goals. This tutoring can also support interview preparation for technical roles by practicing common interview style questions, discussing solution trade offs, and improving how the student comes up with a solution and communicates their approach under time pressure. My aim is to help students become confident solving new problems independently, writing clean Python code, and explaining their reasoning clearly.

C is one of the most important programming languages in computer science. It builds the foundation for understanding how software really works—memory, logic, and efficient problem-solving. This course is designed as a practical and beginner-friendly introduction to C programming and the core concepts of algorithms and data structures. You will learn how to write clean C programs, understand how data is stored and manipulated, and apply essential algorithms used in real applications. We will work through examples, exercises, and small projects to help you build solid problem-solving skills. By the end of this course, you will be able to: Write and understand C programs Work with variables, loops, conditions, functions, and memory Use essential data structures (arrays, linked lists, stacks, queues...) Understand key algorithms (sorting, searching, recursion...) Approach problems step-by-step like a real programmer This course is ideal for beginners, students, or anyone who wants a strong foundation in programming and computer science.

Develop Your Python Skills: Intermediate to Advanced This course is structured to consolidate your foundations and propel you toward complex projects, focusing on development best practices. 🐍 Intermediate Python: Solid Fundamentals This module aims to transform your superficial knowledge into operational mastery of the basics. Programming Concepts: In-depth review and application of variables, strings, and control logic (loops, conditions, switch-like structures). Modularity and Functions: Effective creation and use of functions to write reusable and maintainable code. Using Modules: Hands-on learning of integrating libraries to extend functionality (e.g. Turtle for drawing, time for time management, Pygame for games). Intermediate Final Project: Completion of a concrete mini-project using Turtle and/or Pygame modules to synthesize the acquired knowledge. 🚀 Advanced Python: Structures, OOP and Real Projects Take your skills to the next level by learning how to manage complex data and design robust applications. Advanced Data Structures: Detailed study and expert manipulation of Python collections: lists, tuples, sets, and dictionaries. Learn when to use which structure to optimize your programs. Object-Oriented Programming (OOP): Complete mastery of OOP (classes, objects, inheritance, encapsulation) – the essential approach for large-scale software development. Advanced Application Projects: Direct application of skills on high-value projects: Web Scraping (extraction of data from websites). Development of Graphical User Interfaces (GUI) with Tkinter and PyQt libraries.

The "Algorithms in Python" course is designed to teach you the fundamentals and advanced concepts of algorithms using the Python language. You will discover fundamental data structures, programming paradigms (iterative, recursive, divide and conquer, dynamic programming), and learn how to efficiently solve algorithmic problems. Through practical exercises and projects, you will develop essential skills for analyzing and optimizing algorithms, while improving your programming logic.

Are you ready to take your programming skills to the next level? My interactive and engaging lessons are tailored to your individual learning style and goals. Each session starts with a quick overview of the topic, followed by hands-on coding exercises to reinforce your understanding. We’ll dive into real-world projects, making the learning process practical and relatable. Whether it's building web applications, solving algorithmic challenges, or exploring cybersecurity principles, my structured lessons ensure you gain both theoretical knowledge and hands-on experience. With a Master’s degree in Computer Science and professional experience at VISA and Broadcom, I provide industry insights that connect learning to real-world applications. My clear explanations, step-by-step guidance, and problem-solving approach help students master coding with confidence. No matter your skill level—absolute beginner to advanced developer—I ensure each session is productive, fun, and empowering. Flexible scheduling, personalized feedback, and customized lesson plans make learning seamless and effective. You’ll also receive practice problems, project-based assignments, and ongoing support to reinforce what you learn. Whether you're preparing for coding interviews, academic courses, or career advancement, I’m here to guide you every step of the way. My goal is to make learning programming an enjoyable and rewarding experience. I simplify complex concepts and provide real-world coding examples that help you grasp topics easily. Don’t let coding challenges hold you back—take control of your learning today! 🚀 Start your coding journey now! Book a session and begin mastering programming with expert guidance. Limited slots available—reserve yours today!

I offer engaging and comprehensive programming lessons in C++ and Python, designed to help you master essential concepts and advanced topics in computer science. From problem-solving techniques, object-oriented programming, and data structures to database management, operating systems, digital logic design, and algorithm analysis, my lessons cover it all. I also introduce exciting areas like parallel and distributed computing and the basics of artificial intelligence. Whether you're preparing for GCSEs, A-levels, or pursuing a BSc in Computer Science, my tailored approach ensures you build a strong foundation and advance to becoming an exceptional programmer. Let’s make programming both accessible and enjoyable as you unlock your full potential in this ever-evolving field!

Data Structures and Algorithms are the building blocks that make up the solutions to all computational problems. Understanding how to organize data and about fundamental algorithms is essential for solving all computational problems now and in the future. If you truly want to understand computer science, start from here.

Help with homework, exercises, writing... Exam preparation, retakes, supervised homework... Explanations of courses and TDS Linear algebra Statistical probabilities Numerical analysis Fluid mechanics Solid mechanics....

When we programmers look at the universe, we see it as a big collection of small, resolved problems. The world that is around us is evolving every day, it is getting better and better, although sometimes our efforts give opposite results. Our most important skills in programming are describing functional models in business processes, discovering active entities and the relationship between them in the problem environment, and providing optimal solutions for mapping them in the virtual world. Regardless of the different programming tools and languages, the habit of breaking the problem into smaller parts and presenting the problem-solving processes step by step, is what is called the programming or algorithmic approach in problem solving. I can share my experience with you to learn data structures and algorithms, help you improve your abilities and prepare for job interviews.