Freelancer profile translated to English.
Back to original languageAbout Anas
AI Engineer - NLP, Generative AI, AI Agents
Expert in applied AI (NLP, Generative AI, AI agents), I support companies as an AI partner, from the idea phase to production, and then long-term to ensure performance, adoption, and value creation.
My experience with large accounts (Continental, Thales, Actia…), as well as startups and SMEs, allows me to design robust AI solutions, aligned with your business challenges and ROI-oriented.
Every organization has its own challenges. My role is to transform your needs into a pragmatic, effective, and sector-adapted AI solution, to enable you to gain productivity, performance, and a competitive edge.
My Approach
- **AI Audit & Strategy**: identify high-ROI use cases and define the roadmap.
- **Prototyping & Quick Wins**: demonstrate value quickly through AI POCs and MVPs.
- **Development & Integration**: RAG, AI chatbots, LLM fine-tuning (OpenAI, Claude, Gemini, Mistral, Hugging Face), MCP development, AI SaaS development.
- **Deployment**: monitoring, scalability, security, and confidentiality.
- **Human Support**: training and adoption by your teams.
Example Achievements
RAG AI Assistant→ 60% time saved on error resolution in a large industrial group.
AI Writing Assistant→ 75% time saved in the service sector.
AI MVP launched in 2 monthsfor a startup aiming to automate customer service and reduce ticket volume.
Technical Stack
Python, FastAPI, Pandas, Scikit-learn, PyTorch, Hugging Face, LangChain, LangGraph, LlamaIndex, LangSmith, vLLM, OpenAI, Claude, Gemini, Mistral, Pinecone, Qdrant, MCP, Agents
French
Native or bilingual
English
Fluent
Spanish
Fluent
Can work on-site
Toulouse (up to 50km), Paris (up to 50km)
Experience
- MODEL RHData Scientist - Generative AI - AI EngineerCONSULTING AND AUDITSDecember 2025 - Today (8 months)Toulouse, France
Sovereign Generative AI Platform - AI Agents & RAG for HR Analysis
→ **Mission Objective**: Design and deploy a sovereign Generative AI platform to transform HR analysis processes into decision-support tools.Achievements
- **Orchestration Architecture via MCP**: Implementation of the MCP protocol to securely connect AI models (LLMs) to internal databases and file systems.
- **High-Performance RAG Pipeline**: Implementation of a RAG (Retrieval-Augmented Generation) solution for the analysis of sensitive repositories, ensuring source reliability and data confidentiality.
- **AI Agent Development**: Creation of specialized AI agents (NLP, Generative AI) for automating impact scoring and skills volatility analysis.
- **Strategic Steering**: Design of a decision-making dashboard integrating AI predictions to guide business transformation over the next 5 years.
- **Operational Gains**: 60% reduction in strategic analysis processing time through data flow automation.
Technical Stack
Python, FastAPI, RAG, AI Agents, MCP, NLP, VectorDB (Qdrant), LLMs (Gemini, OpenAI, Mistral), Docker - PredexiaLead Data Scientist - NLP & Generative AICONSULTING AND AUDITSJune 2022 - December 2025 (3 years and 6 months)Toulouse, France
Data Scientist Consultant — Generative AI, NLP, AI Agents & RAG
As a Data Scientist Consultant specializing in Generative AI and NLP, I have led several missions (+10) with various clients (startups, SMEs, and large corporations), each with a distinct business objective: accelerating internal processes, optimizing the use of textual data, or designing new LLM-based solutions.→ **Objective**: Develop and industrialize Generative AI solutions (LLM, RAG, AI Agents, MCP) tailored to diverse needs, from startups to large corporations.Achievements
- **Technical Direction and GenAI Project Management**: defining architectures (choice of LLMs, vector databases, orchestrators like LangChain, LlamaIndex, CrewAI, PydanticAI).
- **RAG Pipeline Design and Implementation**: reducing latency and improving retrieval for quick access to external or private knowledge.
- **Advanced AI Agent Development**: automation of e-commerce processes, assistance in writing tenders (up to 75% time saved).
- Development of AI SaaSin various sectors.
- **Scalable Deployment**: APIs with FastAPI, Docker containerization, and cloud deployment (AWS).
- **Active Monitoring**: staying updated on the Generative AI ecosystem to quickly integrate the latest advancements.
Technical Stack
Python, FastAPI, LangChain, LlamaIndex, PydanticAI, PyTorch, Hugging Face, Ollama, OpenAI, Mistral, Anthropic, NLP, RAG, AI Agents, MCP, VectorDB (Pinecone, Qdrant), Docker, AWS - CoproData Scientist – AI Extraction | Generative AI, NLPREAL ESTATEJuly 2025 - August 2025 (1 month)Toulouse, France
Financial Document Automation — NLP, LLM & Generative AI
→ **Mission Objective**: Automate the processing of financial documents to reduce time-consuming tasks and improve productivity.Achievements
- **Automated Extraction using NLP and LLM**: extraction of information from accounting documents using NLP and LLM (Generative AI) models.
- **Automatic Document Generation**: automatic pre-filling of notarial documents using extracted data.
- Development of an AI SaaS(MVP).
- **Significant Operational Gain**: 50% time saved on extraction processes through AI.
Technical Stack
Python, FastAPI, vLLM, LangChain, Hugging Face, OpenAI, Gemini, Mistral, NLP, RAG, VectorDB
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Education
- Master 2: Data Science & Artificial IntelligenceToulouse School Of Economics2020