Freelancer profile translated to English.
Back to original languageAbout Alix
My name is Alix and I am currently a computer science student at the University Paris-Dauphine of the PSL group.
In parallel with my studies, I work as a freelancer specializing in artificial intelligence.
Key skills:
-AI application development: AI-assisted content creation platforms, custom GPT-based search engines, etc.
-Business integration: using AI for customer support, human resources, strategic monitoring, and document analysis.
-Automation of complex workflows using AI
-Expertise in semantic and vector search (FAISS, Qdrant, Pinecone)
-AI API development (FastAPI, LangChain) and deployment on the cloud or locally
French
Native or bilingual
English
Fluent
Can work on-site
Paris (up to 50km)
Experience
- KlypopCreation SAAS BeToBeRESTAURANTS AND FOOD SERVICEFebruary 2026 - March 2026 (1 month)Paris, FranceB2B SaaS that automates order taking via WhatsApp for restaurants.Architecture:- AI Agent (LangGraph) that interacts with the user via WhatsApp.- Agent equipped with tools to interact with the SaaS database, create a Stripe payment link, and calculate the delivery zone.- Creation of the Frontend, Firebase database, Firebase authentication, Stripe payment, Railway deployment.
- CAPDIAGAI DeveloperREAL ESTATEOctober 2025 - October 2025Noisy-le-Grand, FranceMulti-agent virtual assistant for 3D tours, developed for a client and now used by over 400 people/day.Hybrid architecture (RAG + graph) with real-time text/audio interactions.Architecture:- Multi-agent orchestration via LangGraph.- Hybrid RAG: FAISS + Neo4j.- Optimized RAG pipeline: scoring, compression, anti-hallucination.- Real-time audio/text integration (GPT-4o-Realtime).- Robust audio queue management (listening/speaking).- Custom and animated React widget.- Web reading, document processing, image analysis.Automation of 60-80% of 3D tour related support.
- MonBulletinAI DeveloperCONSULTING AND AUDITSSeptember 2025 - September 2025Paris, FranceAutomated payroll audit system relying on two complementary agents: a deterministic agent that recalculates all payroll figures, and a variable agent (LLM + RAG) that checks for errors according to the collective agreement.The pipeline allows for a reliable analysis in less than 2 minutes per payslip.Key points- OCR extraction and automatic structuring of payslip data.- Deterministic agent: complete recalculation of bases, rates, hours, contributions, and amounts.- Variable agent (LLM+RAG): verification of rules from the collective agreement.- Multi-agent orchestration via LangGraph for a controlled process.- Error detection: bonuses, surcharges, ceilings, rates, absences, overtime...- Specialized RAG based on legal texts + collective agreement.Production of a structured and explainable audit report.Audit time reduced from ~20 minutes to less than 2 minutes.
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Education
- Certification: Fine-tuning & RL for LLMs: Intro to Post-trainingDeeplearning Ai2026Cours de la formation : - Core techniques in Fine-Tuning and RL - Evaluation of model - Data Driven Post-Training - Production Considerations
- DAUPHINE: Mathematics and Computer Science for Decision Making and Organizations.MIDO Bachelor's DegreeMathématiques et Informatique de la Décision et des Organisations.