Freelancer profile translated to English.

Description

Software Engineer/Data Analyst | Fullstack Developer (Laravel • React • .NET)

Specializing in computer engineering, I work on the design and development of complex web applications. My approach is based on creating robust, scalable, and user-centered solutions.

Technical Expertise:

Backend:Expert mastery of Laravel (PHP) and microservices development in C# / .NET.

Frontend:Creation of modern and responsive SPAs with React.

Data & Architecture:Design of PostgreSQL databases and strict application of SOLID principles and Design Patterns.

DevOps & Tools:Mastery of Docker for containerization, CI/CD pipelines, and agile project management via Jira.

**Innovation & AI**:

I integrate Artificial Intelligence capabilities (data analysis, automation) at the core of software architectures to meet the technological challenges of 2026.

Languages: French (Native), Arabic (Native), English (Professional), Moroccan Sign Language.

Passionate about innovation, I guarantee clean, maintainable code and transparent communication throughout our collaborations.

Industry field of expertise

Languages

French
Native or bilingual
English
Fluent
Arabic
Native or bilingual

Workplace preferences

Remote only

Primarily works remotely

Ensa
VIDEO STREAMING INFRASTRUCTURE (MICROSERVICES ARCHITECTURE)
March 2026 - April 2026 (1 month)
Scalable streaming platform inspired by Netflix. As a DevOps engineer, I deployed the architecture on 5 VMs
(Nginx, Flask, PostgreSQL, MinIO) with monitoring under Grafana/Prometheus and advanced network configuration
(Bridge/Host-only).
Microservices flask Minio Grafana Prometheus
Smart Automation Technologie
PFA INTERNSHIP
TECH
July 2025 - September 2025 (2 months)
Tanger, Morocco
Project: Design and deployment of an intelligent Chatbot (RAG)

Development of a Chatbot solution based on the RAG architecture allowing querying private knowledge bases with maximum accuracy.

Data Engineering: Implementation of a document processing pipeline (PDF, Docx, SQL): cleaning, segmentation (chunking), and vectorization.

Vector Database: Use and management of a vector database (e.g., Pinecone, ChromaDB, or FAISS) for semantic similarity search.

LLM Integration: Connection to models (OpenAI, Mistral, or Llama via LangChain) and optimization of "Prompt Engineering".

Backend & API: Development of the API interface (Laravel or Python) for seamless integration into existing systems.

Result: Drastic reduction of AI hallucinations and provision of sourced, reliable answers based solely on company data.
Python React.js .NET C# Java Retrieval-Augmented Generation (RAG)

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- COMPUTER ENGINEERING DEGREE CYCLE
ENSA DE TANGER
- CYCLE D'INGÉNIEUR EN GÉNIE INFORMATIQUE
PHYSICAL SCIENCES BACCALAUREATE
LYCÉE ALLAMA MOHAMED SBIHI
2022
BACCALAURÉAT SCIENCES PHYSIQUE

Fatima-Ezzahra Bellachheb

Computer Engineer

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