For a multinational leader in skincare and protection, I spearheaded the end-to-end development of an advanced AI-driven product information system. This transformative project established a robust Knowledge Graph foundation, enabling intelligent data management and sophisticated customer engagement within the cosmetics sector.
Knowledge Graph Foundation:
A critical first step involved meticulously building a Knowledge Graph using Neo4j. This process entailed mapping complex product data – encompassing detailed descriptions, usage routines, ingredient profiles, benefits, and marketing content – from various JSON sources directly into the graph database. I then crafted sophisticated Cypher queries to ensure efficient and precise data retrieval, forming the intelligent backbone of the system.
Advanced LLM Agent Framework:
A core achievement was the design and implementation of a versatile LLM agent framework, integrating a suite of specialized, AI-powered tools. These tools were developed to handle a diverse range of user interactions and business functionalities, including:
- Product Discovery: Guiding users to relevant products.
- Personalized Routines: Generating tailored day/night skincare routines.
- Customer Experience Tracking: Monitoring and enhancing user journeys.
- Loyalty Point Management: Integrating with loyalty programs.
- Order Processing: Assisting with order-related queries.
- Pathology Checks: Providing information related to skin conditions (non-diagnostic).
- Comprehensive FAQs: Automating responses to frequently asked questions.
Cutting-Edge Integrations & Development:
The project featured seamless integration with leading LLM providers such as OpenAI (GPT-4) and Google (Gemini), alongside robust support for AWS and VertexAI embeddings. This multi-provider approach enabled sophisticated natural language understanding and highly accurate response generation. Employing an agile, iterative development methodology, I focused on continuous improvement, rigorous code refactoring, comprehensive error handling, and detailed observability via Langfuse logging, ensuring a stable and high-performing solution.
Impact & Expertise:
This project stands as a testament to my strong command of graph database technologies, advanced LLM agent architecture, multi-modal data integration, and end-to-end software development. It showcases my ability to deliver intelligent data solutions and AI-powered customer engagement systems that drive significant value for global enterprises.
