Freelancer profile translated to English.
Back to original languageAbout Mohamed Rami
Data/AI Engineer with 14 years of experience in managing and implementing Data and AI projects. I support various companies (large accounts, startups) in the development and implementation of advanced Data strategies.
My technical expertise includes the design and implementation of complex data architectures, advanced processing pipeline engineering (ETL/ELT), in-depth data exploration and analysis, as well as the design and deployment of innovative Machine Learning and AI applications, addressing business challenges.
My expertise covers a wide diversity of sectors: Media, Banking & Insurance, Automotive, Retail, Mass Distribution, Real Estate, and Industry, where I have demonstrated my ability to implement and manage complex projects for business performance.
English
Fluent
French
Native or bilingual
Arabic
Native or bilingual
Can work on-site
Paris (up to 50km), Paris (up to 50km)
Experience
- AllianzData/AI EngineerBANKING AND INSURANCEJanuary 2024 - Today (2 years and 5 months)Development and Management of Data/AI Projects:-Design, implementation, and deployment of a tool for monitoring and tracking customer satisfaction in life and health insurance:
- Organization and leadership of the requirements gathering phase and coordination of data collection from stakeholders
- Design of the overall technical and functional architecture
- Development and deployment of pipelines (ETL/ELT) for data extraction, transformation, integration, and exposure
- Creation of a dashboard for customer satisfaction analysis
-Design, development, and deployment of generative AI tools for various business needs(sentiment and theme analysis, product recommendation, personalized communication generation, risk prevention in home insurance)- Requirements gathering in close collaboration with business users, ensuring strategic and operational alignment
- Design of the overall technical and functional architecture (advanced code structuring, optimized data storage strategies, processing workflow design, batch processing orchestration and management)
- Prompt Engineering: Development and optimization of advanced prompts, creation and management of prompt template versioning to maximize model performance (LLM)
- Selection, fine-tuning, and evaluation of generative AI models (proprietary model, open-source model)
- Implementation of various RAG (Retrieval Augmented Generation) approaches, including simple and agentic methods, to enrich and optimize inference quality
- Development of efficient workflows integrating data extraction, pre-processing, inference, post-processing, and loading
- Exposure of inferences via REST API and development of a user interface for model interaction
- Crédit AgricoleData/AI EngineerBANKING AND INSURANCEMarch 2023 - December 2024 (1 year and 9 months)Implementation of Data AI/ML Projects:-Development of a Data Marketing tool for optimizing customer targeting in communication campaigns:
- Design of the application's technical and functional architecture
- Implementation of the CI/CD chain (installation, quality, testing, build)
- Development of data pipelines (Extraction, ingestion, transformation, joining, orchestration)
- Development and deployment of ML models for subscription prediction and product recommendation
- Development of REST APIs for exposing ML models
-Implementation of generative AI experiments for the use of proprietary and open-source LLMs:- NER: Extraction of personal and sensitive data from emails
- Semantic Search: question/answer with LLMs and RAG on public documents
-Development of the cloud offering for the Datalab/AI factory group on Azure, AWS, and GCP:- MLOps: Proposal and implementation of reference architectures for Machine Learning and Artificial Intelligence use cases.
- DevSecOps: Implementation of best practices for monitoring deployed applications in the cloud, using the following tools: AWS CloudWatch, Azure Monitor, GCP Cloud Monitoring
- GENAI: Development of a multi-cloud solution for leveraging language models (LLM), integrating the following services: Bedrock (AWS), Vertex AI (GCP), and Azure OpenAI
- AllianzData Scientist/ Data EngineerBANKING AND INSURANCEApril 2022 - February 2023 (10 months)Courbevoie, FranceImplementation of advanced analyses and deployment of customer journey management applications- Development of a proactive claims management application:
- Identification of factors impacting customer satisfaction
- Development of a model for predicting claims and customer satisfaction
- Development of an alert system for claims with a risk of dissatisfaction
- Development of an application for managing the network of approved garages:- Analysis of garage performance in terms of cost, timelines, processes, and durability
- Development and deployment of a garage recommendation score
- Creation of a dashboard for a synthetic and exhaustive view of garages
- Review and rationalization of data workflow architecture
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Education
- Master's Degree in Mathematical Engineering and Actuarial StatisticsAix-Marseille University2010
- Statistician EngineerSchool of Statistics and Information Analysis2009
Certifications
- Exploring and Preparing Your Data with BigQueryCoursera2019
- Google Cloud Platform Big Data and Machine Learning FundamentalsCoursera2019