Freelancer profile translated to English.
Back to original languageAbout Nina
AI Engineer with a strong background in data science, I create AI-driven products that go beyond simple prototypes. I design applications where Machine Learning and Generative AI are fully integrated to bring concrete and measurable value.
How I can help you
- Develop web and mobile applications with intelligent features tailored to business needs.
- Design secure AI systems: chatbots, assistants, or AI agents connected to company databases and information systems.
- Develop Machine Learning models and put them into production with complete MLOps pipelines, including monitoring and feedback loops for continuous improvement.
- Integrate backend and frontend for complete, ready-to-use applications.
Key Projects
Mobile application that scans and analyzes restaurant menus. Menus are translated in real-time, and each dish is automatically categorized according to dietary needs and allergens.
Web application that automatically imports and categorizes bank transactions using Machine Learning. It integrates an AI assistant based on AI agents and MCP, allowing users to ask questions and understand their finances.
Technical Stack
- GenAI: LLM, RAG, AI Agents, LangChain, LangGraph, MCP
- Machine Learning: Scikit-Learn, TensorFlow, PyTorch, MLflow
- Backend: Python, API design (FastAPI, Flask)
- Frontend & Mobile: React, Next.js, React Native
- Data Engineering: PostgreSQL, Spark, GCP, Airflow, DBT
- Application Domains: finance sector, fintech, banking
Availability
Short-term missions: POC, MVP, prototype, rapid delivery of functional solutions
Long-term missions: full development, continuous AI integration.
French
Native or bilingual
English
Native or bilingual
Can work on-site
Toulouse (up to 50km)
Experience
- AutoentreprenuerAI Engineer Full-StackOctober 2024 - Today (1 year and 8 months)Toulouse, France
- Development of CashSense: Web application for importing bank transactions, automatically categorized using a Machine Learning model. It also allows creating budgets and savings goals and includes an AI assistant based on AI agents and MCP, capable of answering questions while considering transaction context. Connection to financial data is secure, and AI models are deployed with complete MLOps pipelines.
- Development of Pick&Eat: Mobile application that scans and analyzes restaurant menus. Menus are translated in real-time, and each dish is automatically categorized by dietary needs and allergens, providing personalized recommendations to active users.
- Development of LitSearch AI: Exploratory MVP of a scientific research assistant integrating a RAG system to automatically retrieve and synthesize articles from arXiv.
- Orange SA - Orange Digital VenturesAI EngineerTECHMay 2022 - September 2024 (2 years and 4 months)Toulouse, France
- Development of an AI chatbot for automated source code auditing
- Design and development of structured data lakes to centralize multi-source HR data
- Collaboration with HR teams to identify, analyze, and materialize their business needs
- Development of specific datamarts according to business use cases to optimize data exploitation and analysis
- Alliance4UData ScientistApril 2020 - April 2022 (2 years)Toulouse, France
- Development of predictive models to automatically match consultant skills with client opportunities
- Development of BI dashboards for monitoring financial and commercial performance (revenue, billing, activity)
- Collection and definition of analytical needs in close collaboration with management and commercial stakeholders
- End-to-end analytical project management: data collection, ETL pipelines, datamarts, and visualizations
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Education
- MASTER STATISTICS AND DECISIONAL INFORMATICSUNIVERSITÉ TOULOUSE IIIMASTER STATISTIQUES ET INFORMATIQUE DÉCISIONNELLE
Certifications
- IBM Data Science Professional CertificateIBM2025