Freelancer profile translated to English.
Back to original languageAbout Khalil
🚀 AI Engineer specializing in LLM & RAG — I help companies deploy concrete and profitable AI solutions
Would you like to integrateLLMs (Gemini, GPT, LLaMA, Mistral)into your products or automate internal processes with AI?
I design and deploy **robust, scalable, and business-value-oriented AI solutions**: from technical architecture to production.
🎯 What I can bring you
- Design of high-performanceRAG (Retrieval-Augmented Generation)architectures
- Development of business chatbots connected to your document bases
- Creation ofAI MVPs as quickly as possible
- Workflow automation(LLM + API + n8n + Python)
- Secure cloud deployment (GCP, Docker)
- Optimization of LLM usage costs (token reduction, prompt improvement)
My goal:transform AI into a concrete lever for productivity or growth.
🛠️ Types of projects I undertake
- Internal HR / Legal / Support Assistant
- Intelligent document analysis (contracts, emails, reports)
- Knowledge base semantic search engine
- Custom AI API (FastAPI + LLM)
- NLP analysis tools (classification, summarization, information extraction)
- Complete business process automation
💡 My added value
- Dual expertise in AI Research + Production Deployment
- Experience in LLM fine-tuning and advanced NLP
- Impact-oriented approach: performance, reliability, controlled costs
- Complete autonomy: architecture, backend, deployment, optimization
I don't limit myself to “prompt engineering”: I build AI systems that are usable in real-world environments.
🔧 Main Stack
Python • FastAPI • LangChain • LLMs • RAG • HuggingFace • PyTorch • GCP • Docker • Git • VueJS • n8n
French
Native or bilingual
English
Fluent
Can work on-site
Toulouse (up to 50km)
Experience
- EureciaAI Innovation EngineerHUMAN RESOURCESOctober 2025 - Today (8 months)Toulouse, France– Design and development of RAG architectures and POC/MVP integrating LLMs for new business use cases.– Workflow automation via N8N and Python scripts to optimize internal processes.– Development of full-stack AI web applications (VueJs, Python (FastAPI)).– GCP cloud deployment with Docker containerization and advanced prompt engineering.Stack: Langchain, FastAPI, LLMs, RAG, N8N, GCP, Docker, Git, VueJs, Prompt Engineering.
- IRITAI Research EngineerRESEARCHMay 2025 - September 2025 (4 months)Toulouse, France– Adaptation and improvement of a social network analysis prototype.– Development and deployment of NLP classification models to analyze discourses and their metadata on social networks.– Implementation of a graphical interface to visualize analysis results on anonymized data.Stack: Python, HuggingFace, LLMs, Generative AI, PyTorch, JavaScript, Docker, Git, SPARQL, RDF.
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Education
- Master's degree (Bac +5)Université Paul Sabatier2024Intelligence artificielle