Freelancer profile translated to English.

Description

💡 LLM Engineer | Machine Learning Engineer | MLOps

Passionate and versatile Machine Learning Engineer, I specialize in the design, deployment, and automation of intelligent solutions that transform business environments. With several experiences at Téranga IA, Allianz Trade, JCDECAUX, ASKLOCALA, and Publicis Sapient, I have developed solid expertise in creating intelligent applications, implementing high-performance APIs, automating workflows, and Cloud deployment. My commitment to quality, security, and compliance ensures the success of projects in production.

Key Skills

🚀Intelligent Applications: Development of solutions that automatically generate educational content through the integration of LLM models and RAG techniques.

🚀APIs & Interfaces: Creation of high-performance REST APIs (FastAPI) and interactive interfaces (Streamlit) to offer an optimal user experience.

🚀Orchestration & CI/CD: Implementation of automated workflows (Airflow) and CI/CD pipelines (Jenkins, Ansible, Terraform).

🚀Cloud & Containerization: Deployment of scalable and resilient solutions on Docker, Kubernetes, and AWS.

🚀Data Management: Tracking experiments with MLflow, versioning with DVC, and monitoring (Prometheus, Grafana).

🚀 Security & Quality: Adherence to best practices (PEP8, SOLID) and writing of careful technical documentation.

Languages & Technologies

Languages: Python, Scala, PySpark, SQL

Tools & Platforms: Docker, Kubernetes, Git, TensorFlow, FastAPI, Streamlit, Airflow, MLflow, DVC, Prometheus, Grafana, AWS

Example Git Project: autocours

Project Link: github.com/sallfatima/autocours

I am driven by innovation and the search for high-performance, secure, and scalable solutions. My commitment to quality and compliance (particularly GDPR) ensures the success of projects in production. 🚀

Languages

French
Native or bilingual

Workplace preferences

Can work on-site

Paris (up to 50km)

DECATHLON
MLE/ IA Engineer
RETAIL (SMALL BUSINESS)
July 2025 - Today (11 months)
Paris, France
Development and architecture of QUAD (Quality Assisted Analysis Dashboard), an internal analytics platform dedicated to quality analysis and business intelligence.
Key achievements:
Design of an automated data pipeline with Airflow and Databricks, processing user events stored on AWS S3 and written in Delta Lake
Integration of LLM capabilities via AWS Bedrock (Claude) to enrich analyses
Development of a bilingual (FR/EN) Streamlit application serving quality teams and business analysts
Implementation of interactive dashboards for monitoring quality KPIs (RPM, NQC, product reviews, identification of problematic products)
Migration of DBFS infrastructure to S3 and optimization of CI/CD workflows (GitHub Actions, Docker, EKS)

Technical Stack: Python, PySpark, Streamlit, Databricks, Delta Lake, AWS (S3, Bedrock, ECR, EKS), Airflow, Docker, Kubernetes
PySpark Databricks AWS Airflow Kubernetes
Teranga IA
Senior Machine Learning Engineer
CONSULTING AND AUDITS
July 2024 - Today (1 year and 11 months)
• Development of intelligent applications:
Design and implementation of solutions that automatically generate content (courses) through the integration of LLM models and RAG techniques.

• Creation of APIs and interactive interfaces:
Development of robust REST APIs (FastAPI) and responsive user interfaces (Streamlit) for optimal user experience.

• Orchestration and workflow automation:
Implementation of automated pipelines (Airflow) and CI/CD tools (Jenkins, Ansible, Terraform) to ensure reliable and iterative deployment.

• Containerization and cloud deployment:
Expertise in Docker, Docker Compose, and Kubernetes for the production deployment of scalable and resilient applications.

• Data management and performance monitoring:
Use of DVC for data versioning, MLflow for experiment tracking, and monitoring tools (Prometheus, Grafana) to monitor application performance.

• Code security and quality:
Application of best practices in security (JWT/OAuth2), writing code compliant with PEP8, SOLID standards, and integration of static typing and docstrings for easier maintenance.
Allianz Trade
Big Data Engineer
BANKING AND INSURANCE
February 2024 - Today (2 years and 4 months)
Paris, France
Responsible for migrating a back-testing tool to AWS Cloud and Python:
•Back-testing & Optimization: Development of back-testing models to evaluate and optimize strategies.
Automated Reports: Automation of back-testing report generation for systematic evaluation.
Cloud Ingestion: Design of ingestion pipelines on AWS, ensuring scalability and performance.

Cloud Migration: Transfer of historical data to a modern Cloud architecture.
•Documentation: Coordination of projects and development of detailed technical documentation.
Python Extract, Transform, Load (ETL) Bash Amazon Web Services Gitlab CI/CD Generative AI MLOps Data Migration