Freelancer profile translated to English.
Back to original languageAbout Slimane
Backend and Artificial Intelligence specialist, I design high-impact solutions by leveraging the full potential of LLMs and RAG architectures. I help companies transform their business challenges into high-performing technological products by industrializing machine learning models and integrating them into scalable cloud environments (AWS, GCP). My approach combines innovation, robustness, and automation to deliver reliable, production-ready systems.
Modern systems architect, I lead the transformation of complex platforms by optimizing data flows, performance, and microservices architectures. As a Lead Backend, I unite technical teams around excellence standards and a clear product vision. I also work on strategic data projects (Data Lake, pipelines) to make data a true lever for decision-making and growth.
English
Native or bilingual
Can work on-site
Paris (up to 50km)
Experience
- Lexis NexisPython Data and Machine Learning - AI LangchainLEGALJanuary 2024 - Today (2 years and 7 months)Paris, FranceDevelopment and deployment of AI solutions for the legal sector.Development and deployment of a legal solution based on LLMs, integrating Retrieval-Augmented Generation (RAG) techniques.Optimization and enrichment of prompt content with Solr document search engines.Improvement of search engine querying and work on the relevance of Solr results.Industrialization of machine learning models provided by Data Scientists (embeddings, reranking, different classifiers) for optimal performance and integration into production pipelines. Tools: Triton ONNX, Torch, Transformers, numpy.Implementation of CI/CD workflows with Jenkins and ArgoCD to automate the deployment of ML models and associated services on AWS cloud infrastructures.Monitoring and maintenance of production services with AWS native cloud tools, ensuring high availability, scalability, and compliance with security standards.Writing modular Python scripts to orchestrate ML model integration tasks, manage data ingestion workflows, and automate unit tests.Evaluation and selection of ML/AI frameworks suited to business needs, ensuring fast response times and maximum result relevance.Work in cross-functional teams: DevOps, Data Science, SME, Q&A, and Data Engineering.Technologies and tools: Python, FastAPI, Jenkins, Solr, Docker, Kubernetes, AWS (S3, Cloudformation, EC2, ..)
- Veolia EauLead Backend Python DeveloperENERGY AND UTILITIESSeptember 2019 - Today (6 years and 11 months)Aubervilliers, FranceTELEO: Complete overhaul of the Veolia Eau billing system.Lead Backend Python Developer within a technical team (5 people) in the Operations domain.Integration of data flows via AWS Elastic Container Service.Container orchestration with Lambdas/Step Functions service for data flow integration.Data modeling, injection, and exposure via REST APIs (Django Framework).Functional workshops with business stakeholders to provide technical solutions for new evolution requests.Management of sensitive keys/tokens with VAULT service and FastAPI framework.Technical workshops with the Architecture, Urban Planning, and Security teams.Mentoring/onboarding of new developers joining the team.Creation, maintenance, and optimization of RDS and BigQuery databases.Provision of monitoring tools to track data flow status.Development of tools for error management.Continuous improvement of applications to meet performance requirements and reduce execution time.FinOps: AWS Cloud cost optimization.Writing technical and software architecture documentation.API frameworks: Django, FastApi.API Management: APIGEE.AWS Services: SSM, StepFunctions, SQS, RDS, S3, IAM, ELB, SQS, SNS.GCP: Appengine, Pubsub, BigQuery, CronTask, Cloud IAP.CI/CD: Jenkins, Bitbucket Pipelines, Docker, Sonar, Pytest/Unittest. MakeFile. Linters.HYPERVISION 360:Authorization management applications for Hypervision Habilia tools and management of requests from Collectivities.Team composed of 4 developers and Python Lead Backend role.Gathering requirements from business teams.Backend implementation with the DJANGO framework.Management of multi-level authorizations and permissions.API Design in Microservices Architecture.Creation of tables and views in BigQuery for analysis via Cloud Functions.API Frameworks: Django.GCP: Datastore, BigQuery, Cloud SQL, Cloud Functions, AppEngine.
- VeoliaPython / Data EngineerENERGY AND UTILITIESSeptember 2017 - September 2019 (2 years)Aubervilliers, FranceData Lake Program:Centralization of data from multiple information systems via Python, GCP Dataflow, BigQuery, CloudSql, Datastore as databases.Enrichment of the Data Lake with various sources (batch / stream).Consumption of various resources with different formats (csv files, xls, API, SFTP server, etc.).Batch execution with Cloud Scheduler.Monitoring and supervision via the Stackdrivers service.Participation in technical workshops with Data Architects.API frameworks: Google Cloud Endpoint, Webapp2, Django.GCP: AppEngine, ComputeEngine, CloudFunction, KMS, PubSub, GCS.Writing/Documentation of software and technical architectures.Scrum and Agile methodologies. JIRA.
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Education
- Master of Computational FinanceUNIVERSITÉ PARIS VII DIDEROT2014MASTER, COMPUTATIONAL LINGUISTICS/NLP
- B.Sc. Computational Linguistics/NLPUNIVERSITÉ PARIS VIII2012LICENCE. COMPUTATIONAL LINGUISTICS/NLP