Freelancer profile translated to English.
Back to original languageAbout Salim
AI Developer with over5 years of experience**, I design solutions centered on **Generative AI**, **LLM(Large Language Models) models, advancedRAG(Retrieval Augmented Generation) architectures, and autonomous **AI agents**.
🚀 My areas of expertise:
LLM (Large Language Models)
→ Integration and optimization ofLLMmodels like GPT, Llama, and Mistral via **Langchain**.
→ Advanced fine-tuning ofLLMson your specific data withPytorchand **Tensorflow**.
→ Efficient production deployment andadvanced monitoringofLLMmodel performance.
RAG (Retrieval Augmented Generation)
→ Development of customRAG systemsenabling your teams to **interact with your internal data**.
→Automation of business processesthrough RAG, facilitating the extraction and exploitation of critical knowledge.
→Seamless integrationof RAG into your existing infrastructure, optimizing the **valuation of your documents and data**.
Autonomous AI Agent
→ Design of AI agents capable ofmanaging complex business workflowsautonomously.
→ Integration of AI agents to **automate and optimize critical business processes**.
→ Implementation of AI agents **specifically tailored to your company's business needs**.
🔧 Why work together?
→ Deep expertise in **Generative AI**, **LLMs**, **RAG**, and **AI agents**, from initial selection to operational deployment.
→Transparent and educational approachensuring rapid adoption of AI by your technical and business teams.
→ Proven ability to manage bothambitious AI projectsand targeted high-value missions.
Ready to accelerate your transformation with **Generative AI**?
Let's discuss!
French
Native or bilingual
Can work on-site
Paris (up to 50km), Montpellier (up to 50km), Lyon (up to 50km), Bordeaux (up to 50km), Nantes (up to 50km)
Experience
- BNP-ParibasAI EngineerBANKING AND INSURANCESeptember 2025 - Today (9 months)Paris, FranceDeployment of an on-premise RAG platform for a vast Finance/Banking document corpus (analyst notes, policies, reports, commitments, KYC/AML…), enabling conversational access and information extraction by legal entity and document scope, with strict adherence to confidentiality and Role-Based Access Control (RBAC).● Architecture and end-to-end deployment of the RAG pipeline (ingestion → indexing → extraction → generation) in Python (FastAPI) and TypeScript, using LangChain/LangGraph and pgvector.● Design of index schemas and extraction/filtering strategies (metadata protection, scopes, temporal decay, freshness) to improve the accuracy of the top k relevant results and reduce semantic drift.● Integrated multi-functional agents offering document summarization, targeted summarization, key information extraction, and content generation from sources (citation tracking with version control).● On-premise production deployment: CI/CD integration, RBAC
- PacktAuthorEDUCATION AND E-LEARNINGAugust 2025 - Today (10 months)Paris, France**Book Title: Building Agentic AI Apps with Next.js, TypeScript and MCPI am the author of the book, scheduled for release in late March 2026 at the earliest.**
- SanofiGenerative AI DeveloperPHARMACEUTICALS INDUSTRYMarch 2025 - Today (1 year and 3 months)Paris, France→ Mission Objective: Optimize and automate various internal business processes through the integration of **Generative AI**-based solutions.→ Solution Implemented: Design of scalable and robust architectures, integration of advanced LLM models via high-performance APIs developed in **Node.js**, enabling optimal exploitation of Generative AI (**Gen AI**).→ Result Achieved: Significant improvement in business processes through automation, enhanced reliability of GenAI applications, and notable reduction in processing time for complex tasks.
Reviews
Recommendations
+8
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Education
- Specialization Machine Learning, Artificial IntelligenceStanford University2023Specialisation Machine Learning, Intelligence artificielle
- TensorFlow Developer, Artificial IntelligenceDeepLearning.ai2024TensorFlow Developer, Intelligence artificielle
Certifications
- Rust LLMOpsLinkedin Learning2024
- MLOps | Machine Learning OperationsDuke University | Coursera2024