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Salah-Eddine L.SL

Salah-Eddine L.

Senior Software Engineer / Python / Cloud AWS / AI

450 €/jour
London, GB
3-7 ans

Délai de réponse moyen : 1h

À propos de Salah-Eddine

I am a software engineer with experience in Backend and Cloud development, and a background in Data Science that has helped me develop strong analytical and problem-solving skills. Over the years, my experience has evolved—starting with Python development in Data Science, then moving into Django, Flask, and FastAPI for backend services. I also work with AWS cloud solutions and Power BI for data visualization. More recently, I’ve been focusing on Cloud/Data Engineering and integrating Large Language Models (LLMs) into scalable applications.
  • Anglais

    Bilingue ou natif

  • Français

    Bilingue ou natif

  • Arabe

    Bilingue ou natif

En télétravail uniquement
Travaille majoritairement à distance

Expériences

  • Flow Digital Studio
    Senior Full Stack Engineer
    CONSEIL & AUDIT
    octobre 2025 - Aujourd'hui (8 mois)
    Paris, France
    Core Responsibilities

    Developing robust and scalable features using FastAPI (backend) and Next.js (frontend).

    Writing and maintaining unit tests and end-to-end (E2E) tests to ensure code quality and system stability.

    Mentoring junior developers and promoting best practices across frontend and backend development.

    Performing code reviews to maintain high-quality standards and ensure consistency across the codebase.

    Optimizing performance and ensuring maintainability and scalability of core components.

    Leading refactoring initiatives to reduce technical debt and improve overall architecture.

    Managing incidents and implementing corrective actions to ensure service reliability and continuity.

    Automating recurring tasks using cron jobs and orchestration scripts.

    Analytical & Strategic Contributions

    Designing and implementing custom analytics dashboards to support data-driven decision-making.

    Contributing to system architecture and technical design, aligning solutions with business objectives.

    Collaborating on the development of AI agents (extraction, comparison, intelligent data processing).

    Designing and deploying RAG (Retrieval-Augmented Generation) pipelines using Pinecone vector database.

    Producing technical documentation and reporting to ensure visibility and traceability of system evolution.
    FastAPI RAG Python Amazon Web Services PostgreSQL
  • CONSTELLIO
    Backend Engineer / Data Engineer
    SECTEUR PUBLIC & COLLECTIVITÉS
    août 2024 - Aujourd'hui (1 an et 10 mois)
    Québec, Canada
    -Data & Artificial Intelligence Projects

    Automated deployment of OLLAMA models on Runpods using CI/CD pipelines.

    Design and management of vector databases: ChromaDB and PgVectorm PineCone.

    Built and deployed RAG (Retrieval-Augmented Generation) pipelines combining vector search with LLMs.

    Created custom AI agents for tasks like information extraction and document summarization.


    Implementation of intelligent web scraping using ScrapeGraphAI and Crawl4AI.

    Development of an NLP model for automatic text classification.

    Creation of a conversational chatbot using Azure Bot Framework, integrated into Microsoft Teams.

    -Backend & Cloud Development

    Built a Flask application for web scraping/crawling using Galer and Katana.

    Designed a Flask API for processing PDF/Word documents: cleaning, vectorization, and storage with ChromaDB.

    Dockerized and optimized existing containers following best practices.

    Deployed, monitored, and maintained backend applications in production.

    Implemented CronJobs and batch tasks to automate data pipelines.

    Set up CI/CD pipelines using GitLab CI to ensure reliable deployments.
    Docker Python Flask PostgreSQL Amazon Web Services LLM
  • AppiLabs
    Software Engineer
    JEUX VIDÉO & ANIMATION
    août 2022 - décembre 2023 (1 an et 4 mois)
    Liège, Belgique
    -Data Engineering & Analytics

    Migrated data from PostgreSQL to a Data Warehouse for scalable analytics.

    Performed data cleaning and preparation to ensure high-quality datasets.

    Developed various predictive models to enhance user experience and improve ad targeting and visualizations.

    Scraped sponsor data from multiple sources to enrich the database.

    Designed and implemented data pipelines for efficient storage and retrieval.

    -Backend Development

    Designed RESTful API specifications and implemented backend services using Flask.

    Managed multi-database connections with MongoDB and Redis for high-performance architecture.

    Implemented comprehensive error handling and monitoring using Amazon CloudWatch.

    Integrated Amazon S3 for scalable cloud-based file storage.

    -Cloud & DevOps

    Created IAM roles with fine-grained permissions based on application features.

    Deployed and configured cloud databases including MongoDB Atlas and Redis on EC2.

    Set up CloudWatch logging for proactive error tracking and alerting.

    Monitored costs and billing using AWS tags and usage reports.

    Managed custom domain connections via AWS Elastic Beanstalk, LightSail, and Amplify, integrated with Cloudflare.

    Deployed applications using CI/CD pipelines with GitHub Actions.
    Redis AWS LLM Django PostgreSQL

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Formations

  • PhD ESG Finance Analysis NLP
    Ecole National Superiere D'arts et Metiers Casablanca (ENSAM)
  • Master Big Data & Data Science
    Ecole National Superiere D'arts et Metiers Casablanca (ENSAM)
    2021

Certifications

  • AWS Cloud Practitioner
    AWS
    Cloud Engineer EC2 ECR EB Talk S3 Bucket EKS

Compétences

Catégories