Computer Programming: Fullstack Developer (Java, Python, Node JS) & AI (LLM, ChatGPT, Claude, etc.) | Web (HTML, React, Vue, etc.)

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From 76 C$ /h

Experienced Web & AI Developer: creation of your custom applications and websites and programming courses.

The following questions:
- Do you have a digital idea or project you'd like to bring to life? (Perhaps a small e-commerce website, a WhatsApp-style chat application)
- Do you want to create your own platform or learn to code at your own pace with a professional?
Are you looking for someone to hire to create your dream solution?
- Do you want a mobile | web | desktop application?
Are you looking for a developer for a permanent contract or freelance work?
- Private lessons for Web/Mobile apps?

Me:
As a freelance software engineer and founder of the company "Agglomy", I offer my technical expertise to individuals, project leaders, creators, and very small businesses. A patient, responsive, and attentive communicator, I support you from design to launch.

1. DEVELOPMENT OF YOUR CUSTOM PROJECTS
I design modern, fast, mobile-friendly, and secure solutions. Here are some examples of possible solutions:

- E-commerce & Online Sales Platforms: creation of complete stores (catalog, shopping cart, secure Stripe/CB payment, stock and order management, customer area).
- Instant messaging & Chat applications: development of WhatsApp/Messenger type applications (real-time messaging, document sharing, statuses, live notifications).
- Custom AI Assistants & Chatbots: integration of artificial intelligences (like ChatGPT/Claude) trained on your own documents or configured to automatically respond to your customers, sort requests or automate your daily tasks.
- Business tools and private portals: booking platforms, online calendars, interactive dashboards or automation tools.
- Maintenance & Evolution: graphic redesign, addition of new features or resolution of bugs on your existing projects.

Development pricing:
- Freelance: €350 - €520 excluding VAT / day (or turnkey package on quote after review of your specifications).
- Permanent contract: 3700 Euros / month in Paris, minimum 2-year contract (after review of your duties).

2. PRIVATE PROGRAMMING LESSONS & COACHING FOR YOU OR YOUR LOVED ONES
Whether you are a complete beginner with no prior knowledge, a computer science student preparing for exams, or undergoing career retraining, I offer practical and personalized courses:

- Frontend Web Development: HTML5, CSS3, modern JavaScript, React.js to design dynamic and attractive web interfaces.
- Server & Backend Development: Node.js (with Express), Python, Java to learn how to create APIs, manage requests and manipulate databases (SQL, MongoDB).
- Artificial Intelligence & Automation: introduction to Python for AI, use of AI APIs, data processing.
- Practical support: help with your personal projects, getting unstuck with school/university assignments, preparation for technical interviews.

Training fee: €30 - €50 excl. VAT / hour (videoconference or face-to-face courses €50+ excl. VAT / hour in Paris/Île-de-France depending on availability).

WHY ENTRUST ME WITH YOUR PROJECT?
- Clear approach: simple explanations, without unnecessary jargon.
- Complete expertise: mastery of the entire chain (design, code, server, security, online deployment).
- Security & Data: strict adherence to security and confidentiality standards (GDPR).
- Trust & Clarity: transparent framing of deadlines and costs.

LEGAL INFORMATION & BILLING

- Service declared with systematic delivery of a professional invoice.
- Company: Agglomy – SIREN: 108 699 695 (RCS Paris - APE 6201Z: Computer programming).
- Check the legality on INPI or business register with our SIRET: 10869969500012.

Feel free to contact me via Leboncoin messaging to explain your needs. I'll reply quickly to arrange a free initial consultation!

Extra information

Laptop requires a minimum of 32 GB of RAM and a 512 GB SSD.
Powerful processor (equivalent to at least i7 7th generation).
Have a good internet connection

Location

Online from France

About Me

Full-stack engineer specializing in the end-to-end delivery of critical solutions for the international market (Africa,
Europe, USA, Canada). Mastering a highly versatile ecosystem combining server architectures
distributed enterprise, native integration of Artificial Intelligence (LLM, RAG) and modern client interfaces.
Focused on technological innovation for 2026+, ensuring architectural resilience, updates, the
Application security (IAM, encryption), compliance (GDPR, AI Act), observability (DevOps) and analytics
Engineering to reduce operational costs and maximize business value.

Education

Master's in Data Marketing & AI | HETIC School 2023 - 2025
Paris, France
Initial coursework during the day. Activity at DeepSquare maintained with staggered/evening hours.
• Key skills acquired: Statistical modeling, Deep Learning, Natural Language Processing (NLP), pipelines
large-scale data and business valuation strategies for AI algorithms.
Master's Degree in Software Engineering | ESPITA University 2021 - 2023
Sousse, Tunisia
Higher education course completed entirely through evening classes, alongside my position at DeepSquare.
• Key skills acquired: Design patterns, microservices-oriented distributed architectures,
agile methodologies (Scrum), and codebase quality and maintainability management (SOLID/DRY).
Bachelor's Degree in Robotics & IoT | EPM Tunis 2020 - 2021
Tunis, Tunisia
• Key skills acquired: Low-level programming of microcontrollers (Arduino, Raspberry Pi), simulation and validation
Hardware under ModelSim, integration of automated systems and industrial mechatronics.
Bachelor's Degree in Computer Networks & Security | UPS University 2017 - 2020
Sousse, Tunisia
• Key skills acquired: Advanced administration of Linux/Unix system architectures, implementation and security of
network protocols, software security auditing and fundamental principles of cryptography.

Experience / Qualifications

Fullstack Software Engineer, AI & DevOps - Senior | DeepSquare (IT Services Company) 06/2021 - Present
Tunisia (On-site until 2023) then Remote from Paris, France. Full-time / Long-term collaboration
Development, architecture and deployment of critical software solutions for various international clients.
Design of complete infrastructures (Web, Mobile, Desktop, Backend, Cloud, AI, Security):
- Ryvo-Line (01/2026 - Ongoing) - Canada: Cross-platform ride-hailing service (Alternative to Uber)
Missions:
• Fullstack & Cloud architecture:
- Implementation of the client system on Web (Next JS) and Mobile/Desktop (Flutter).
- Backend design via Supabase and Node JS Functions with strict access control (RBAC).
- Third-party integrations: Google Maps SDK, Stripe & Paypal payments.
• DevOps & Infrastructure:
- Distributed architecture deployed on Linux via Docker Compose.
- Event stream management (Queue) with Kafka and Cache via Redis. AWS S3 storage.
- CI/CD pipelines via GitHub Actions on AWS EC2.
• Security & Observability:
- AWS IAM implementation, JWT/SSL/TLS protocols.
- Monitoring and observability of the infrastructure via Prometheus and Grafana.
• AI & Data Engineering:
- Integration of a customer service managed by multimodal AI agents (Chat & Voice) using LiveKit (STT + VAD + LLM)
+ TTS) in Python.
- Implementation of Data pipelines (DBT / Snowflake) for AI-powered automated processing and intelligent recall of
customer suggestions/promotions.
• Data Viz: Implementation of dashboards for data visualization for analytics with Next JS interface.
Techs: Jira, Photoshop, Figma/Canva, Next JS, Flutter, iOS Swift, Kotlin Jetpack Compose, Supabase with PostgreSQL/SQL, Rust (
Actix Web), Node JS Functions, Python with FastAPI REST API, GitHub Actions, Gitlab, Terraform/Kubernetes/Docker, AWS EC2/S3,
Kafka, Redis, LLM(Gemini), LiteLLM, LiveKit/WebRTC/Websocket, Stripe/Paypal API, Prometheus/Grafana, DBT/Snowflake, PowerBI.

Age

Adults (18-64 years old)

Seniors (65+ years old)

Student level

Beginner

Intermediate

Advanced

Duration

60 minutes

The class is taught in

French

English

German

Skills

Computer programming

Web development

Mobile development

Availability of a typical week

(GMT -04:00)

New York

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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This popularity means that Python is constantly evolving. It offers a wide range of tools and libraries, which are free and very varied.

As an aeronautical engineer, I like to share my knowledge and derive satisfaction from it by teaching and motivating others.

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Whether you've never written a line of code or you're a student who needs to pass a programming course, this is a practical, no-fluff introduction that gets you writing real code from session one.
What we can cover depending on your goals:

Python fundamentals: variables, loops, functions, data structures
- Object-oriented programming (OOP)
- Data manipulation with pandas and NumPy
- Introduction to machine learning with scikit-learn
- Database management with SQL
- C and Java upon request
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Why learn with me?
I'm not a student teaching on the side — I'm a professional engineer who uses Python daily for data analysis, modeling, and automation. I know exactly which concepts matter in the real world and which ones you can skip for now.
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Don't settle for anything less than excellence.
I am an Aerospace Engineer with a Master's degree in Quantum Physics and have completed Ph.D. work at the University of Cambridge in Computational Physics. Additionally, I have 4 years of experience developing MATLAB and possess deep programming skills in MATLAB/Simulink family, C/C++, Fortran, and Python.

With over 12 years of tutoring experience, I have successfully guided more than 50 students worldwide to achieve distinction in various fields. Consistent results are my priority, and I strive for excellence in all aspects of my teaching.

My lessons are customized to meet each student's unique needs and are designed to be engaging and insightful.

Whether you are at a school level or require advanced or professional-level instruction, I offer support in the following areas:
- Preparation for IB/IA, A-Levels, GCSE, University Entry, or equivalent.
- Experience in preparing students to access world-class schools and universities, including Cambridge University, Oxford, Ivy League and other top institutions in the UK and US.
- University levels (undergraduate and postgraduate).
- High school studies and diploma programs.
- Assistance with specific projects at a professional level, including job interview preparation.
- Extensive experience working with children.

Every lesson is meticulously planned in advance to ensure that it aligns with your goals and targets areas for improvement.
I prioritize a dynamic and interactive learning experience, with one-on-one sessions tailored to your individual requirements. Lessons will be conducted via webcam, enabling you to connect from anywhere.

I have a highly flexible schedule and can adapt to accommodate your needs.
If you have any questions about my teaching method, availability, or pricing, please don't hesitate to reach out. I am here to assist you and provide the support you need.

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* In addition, learning programming allows the development of algebraic, algorithmic and computational thinking. Programming also helps to improve and develop students' sequencing ability, as well as their communication skills. Thus, there are several advantages to teaching programming, but the important thing is to remember that this learning teaches students that digital is not only for entertainment, but that it is possible to become creators. active and creative content.

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You will learn step by step how to install WordPress, understand its interface, create pages and articles, customize the design of your site and add essential features using themes and extensions.

At the end of the training, you will be able to:

Create a showcase website or a professional blog

Manage content (text, images, menus)

Customize the site's appearance

Install and configure useful extensions

Understanding the basics of security and backups

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Do you want to create your own software?
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Automate repetitive tasks?
Control or manage your own hardware?

Whether you are just starting to learn Python or already have a specific project and need some guidance, I would be happy to help you.

My goal is to explain things clearly, adapt to your level, and help you understand not only how to make something work, but also why it works.

Let's turn your ideas into working Python projects!

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Master Python with Personalized Courses

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.

Ongoing Support: Get unlimited email support for any questions you have between sessions.

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.

Book Your First Lesson:

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.

Farouk

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These courses are part of a practical and accessible introductory training course in web development 🌐💻, designed for those who want to learn how to create a website from A to Z.
Using fundamental web technologies—HTML 🧱, CSS 🎨, and JavaScript ⚙️—you'll learn how to structure pages, style them, and make them interactive.

My teaching approach is hands-on: each concept is accompanied by concrete examples and progressive exercises to consolidate your knowledge. You'll discover how to build a responsive interface 📱💡, manage user events 🖱️, and apply simple animations ✨ to improve the user experience.

Whether you are a beginner or looking to consolidate your foundations, this training will guide you step by step towards autonomy in creating your own web projects 🚀

Training plan in 10 modules:

1. Introduction to programming 🧠💡
Understand the basics: logic, Linux commands, simple instructions and algorithms.

2. Introduction to HTML 🧱📄
Structure of a web page, main tags, links, images, tables, forms.

3. Accessibility and SEO ♿🔍
Create inclusive and well-referenced sites: semantic tags, ARIA attributes, good SEO practices.

4. Introduction to CSS 🎨🖌️
Formatting, colors, typography, boxes, flexbox and responsive layout.

5. Git & GitHub 🗂️⚙️
Version your code and collaborate effectively: Git commands, creating repositories, push/pull, pull requests.

6. JavaScript - Data Types 🔢📝
Numbers, strings, booleans, objects, arrays... Learn to manipulate data.

7. JavaScript - Functions and Methods ⚙️🧩
Define and call functions, understand scope, use native methods.

8. JavaScript - Terms ❓🔁
Master the if, else, switch statements to handle specific cases.

9. JavaScript - Arrays and Loops 🔄📊
Iterate efficiently with for, while, forEach, manipulate arrays like a pro.

10. DOM Manipulation & Closures 🌐✨
Edit HTML/CSS from JS, add events, understand closures for advanced interactions.

Yomna

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Private Programming Lessons for you / your family / your company employees
Programming Tutor – IGCSE & Computer Science Subjects
Deeper understanding, stronger results

• Lecturer at the American University AUC
• Over 20 years of experience in training students for government employees, oil companies (BP), food companies (Nestle), banks (CIB), and telecommunications companies (Vodafone).

• Teaching curricula, syllabuses, courses:
o IGCSE (Computer Science 0478, ICT 0417)
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.

Ioannis

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PhD Candidate in Informatics – Private Lessons & Pancyprian Exams

I am a PhD Candidate in Informatics and I offer private lessons in Informatics to High School students (Pancyprian Exams) as well as to University students, with an emphasis on correct understanding and methodical thinking.

Pancyprian Exams – Informatics

Systematic preparation with an emphasis on:
• understanding of the material
• correct algorithmic thinking
• methodology for solving problems
• analysis of old Pancyprian exam questions

We cover, for example: pseudocode, tables, repetitions, control structures and common exam errors.

Students & General Computing

Support in:
• Programming (C / C++ / Python)
• Operating Systems
• Computer Architecture
• Code Understanding & Debugging

In-person or online courses, with emphasis on understanding and proper study organization.

English text below

PhD Candidate in Computer Science – Private Tutoring & Pancyprian Exams

I am a PhD candidate in Computer Science offering private tutoring for high school students (Pancyprian Exams – Computer Science) and university students.

Pancyprian Exams – Computer Science

Structured exam preparation focusing on:
• understanding the syllabus
• correct algorithmic thinking
• exam-oriented problem-solving
• analysis of past Pancyprian exams

Topics include pseudocode, arrays, loops, control structures, and common exam mistakes.

University & General Computer Science

Support in:
Programming (C/C++/Python)
• Operating Systems
• Computer Architecture
• Code understanding and debugging

Lessons are available in person or online, with emphasis on understanding concepts rather than memorization.

Ammar

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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.

Baia

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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

Neha

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Learn how to build modern websites and mobile applications from scratch and develop the practical skills needed for real-world projects.

In this Frontend & Mobile Development course, I’ll guide you step by step through the technologies and tools commonly used by developers, including HTML, CSS, JavaScript, Angular, Git, GitHub, VS Code, and mobile application development.

You’ll learn how to create responsive and interactive websites, build structured applications with Angular, manage your code using Git and GitHub, and use VS Code efficiently for development. We’ll also explore how frontend technologies can be used to create mobile applications.

The course is suitable for beginners and intermediate learners. Lessons are practical and project-based, so you’ll learn by actually building websites and applications rather than only studying theory.

My goal is to help you understand how and why the code works, improve your problem-solving skills, learn professional development practices, and gain the confidence to create your own projects independently.

Lessons can be adapted to your experience level, learning pace, and personal or career goals.