Mohamed Yassine Chouket

Software Engineer | Java, Spring Boot, JavaScript, TypeScript, ReactJs, NextJs, Python, AWS | Passionate About System Design, Problem Solving & Building Scalable Architectures

Salaire / Taux journalier

Sousse, Tunisie

Freelance, ouvert au CDI

Expertises

Spring BootNextLLMs / Large language modelsMongoDBTypescriptJavaJavascriptReactPythonAWSFastAPITerraformKubernetes

À propos

Introduction

I'm a Software and AI Engineer specializing in building scalable, production-ready systems that combine modern web technologies with intelligent AI workflows. I focus on delivering high-performance applications that are reliable, maintainable, and designed with clean architecture principles.My expertise spans full-stack development with Java Spring Boot, Next.js, React, and TypeScript, along with strong experience in DevOps and cloud-native infrastructure, including AWS, Terraform, Kubernetes, and CI/CD automation. I design and deploy systems that scale efficiently, emphasizing automation, observability, and operational excellence.I have hands-on experience building AI-powered platforms using LLMs, RAG architectures, and autonomous AI workflows, enabling applications to analyze data, generate optimized outputs, and automate complex processes. My work includes developing asynchronous AI pipelines, event-driven microservices, and real-time systems powered by vector search and embeddings.I'm passionate about building intelligent systems that solve real-world problems, improving developer productivity, and leveraging AI to create next-generation software platforms. I thrive in environments that value technical excellence, continuous learning, and meaningful innovation.

Liens

Expérience de travail

Backend Engineer Intern

Proxym Group

août 2025 - sept. 2025

2 mois

Software Engineer Intern

satoripop

juin 2025 - juil. 2025

2 mois

– I developed a full-stack web application that empowers retailers to gain valuable insights into their product sales performance. The platform tracks price variations, sales trends, peak selling times, and cancellation reasons, while offering interactive visualizations, detailed reports, and an intuitive admin dashboard for product and alert management. Built with Angular, Spring Boot, and PostgreSQL, the app is deployed on AWS


Formation

École Nationale d'ingénieurs de Sousse

Computer Science

2024 - 2027

3 ans 1 mois


Licences et certifications

Efficient Large Language Model (LLM) Customization

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Certificate of completion - Git and GitHub

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Problem Solving (Basic)

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Certificate of completion - Mathematics

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SQL (Intermediate)

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