Freelancer profile translated to English.

Description

My dual role as an AI Developer and MLOps expertallows me to cover the entire AI project lifecycle, from data processing to large-scale model deployment.

My experiences within leading industry companies (Microsoft USandScaleAI) have provided me with a strategic vision, advanced tools, and proven methodologies that I now apply to my client projects, regardless of their size or objectives.

What I offer:

*AI/ML Development:Design, training, and optimization of AI models tailored to your business challenges.

*AI Model Industrialization:Reliable production deployment of ML solutions, from prototyping to large-scale deployment.

*Advanced Automation:Integration of CI/CD workflows with Docker, Kubernetes, MLflow, and Kubeflow to ensure robust and efficient pipelines.

*Cloud Optimization:Expertise in Azure and AWS to create high-performing, flexible, and cost-effective environments.

*Tailored Support:Close collaboration with your teams to align technical solutions with your strategic objectives.

Examples of achievements:

*Microsoft US:Development of optimized predictive models, reducing deployment time by 25% through automated ML pipelines.

*ScaleAI:Large-scale deployment of an anomaly detection system, increasing the reliability of critical processes by 20%.

Whether you are a large enterprise looking to optimize your AI processes or a startup seeking to accelerate the production of your models, I will guide you at every step to ensure high-performing, scalable solutions tailored to your needs.

Industry field of expertise

Languages

French
Native or bilingual
English
Native or bilingual
Spanish
Basic

Workplace preferences

Can work on-site

Lyon (up to 50km), Paris (up to 50km)

Scale AI
Data Analyst
TECH
June 2024 - September 2024 (3 months)
New York, United States
Analysis, processing, and optimization of datasets for AI training. Collaboration within a multidisciplinary team of 9 people. Coordination with downstream development teams, from data collection to model integration into production. Design, optimization, and automation of data pipelines to accelerate the delivery of high-quality datasets.

Key results:
Built and optimized data pipelines, reducing processing time by 30%, enabling faster delivery of high-quality datasets for AI models
Performed exploratory data analyses and designed predictive models, improving labeling accuracy by 15%
Automated reporting dashboards, reducing manual effort by 40% and strengthening data-driven decision-making
Amazon Web Services Microsoft Azure Data analysis Big Data SQL/NoSQL Python ETL Docker
Microsoft
AI Application Developer
TECH
May 2023 - August 2023 (3 months)
Seattle, United States
Participation in technical and commercial initiatives with companies and startups on the West and East Coasts of the United States. Discussions with client technical and strategic teams. Identification of needs, constraints, and opportunities. Proposal of tailored solutions, design of MVPs, and implementation of modification requests. Coordination and co-development with Microsoft AI experts.

Key results:
Developed and deployed AI-based applications, reducing client workflow processing time by 25%
Improved model accuracy by 12% through fine-tuning and integration of advanced NLP techniques with Hugging Face and PyTorch
Collaborated with product teams to design and implement scalable APIs, supporting over 10,000 users per day
Provided insights through automated dashboards, improving decision-making speed by 15% for key stakeholders
Microsoft Azure Project management MVP Client relations Azure ML Azure DevOps Pytorch Docker MLflow Python
SYNETIS
Back-end Developer
TECH
August 2022 - August 2022 (1 month)
Paris, France
Restructuring of the back-end to integrate a new industrial security branch. Update of the database schema. Creation of secure APIs. Testing of fixes and management of hot deployments, overnight, to ensure service stability.
React.js JavaScript Python SQL JWT