Freelancer profile translated to English.
Back to original languageAbout Yinghua
Data & AI Engineerwith 6 years of experience, I design systems capable of transforming massive data volumes into actionable intelligence tools. My expertise combines the deployment ofLLM (RAG), Agents, LangChain, Neo4jsolutions and the construction of robust data infrastructures on Azure **Databricks**.
🚀Expertise & Added Value:
- **Generative AI & LLM**: Design of RAG (Retrieval-Augmented Generation) systems and multilingual chatbots capable of intelligently querying your internal data.
- **Large-Scale Data Engineering**: Development of high-performance ETL/ELT data pipelines with PySpark and Spark SQL.
- **Cloud Architecture**: Implementation of Databricks environments (Lakehouse, Unity Catalog) for governed, AI-ready data.
💡Why work with me?
Former journalist and Digital Transformation Project Manager, I possess a unique ability to bridge the gap between business needs and technical implementation:
- **Expert Communication**: I simplify AI challenges for decision-makers while maintaining rigor with developers.
- **Rigor & Quality**: My editorial background is a major asset for prompt engineering and the finesse of your models' outputs.
- **Large Account Experience**: With 6 years of experience, I am autonomous, responsible, and focused on the ROI of your data projects.
🛠️Project Examples & Deliverables:
- **NLP**: Document inconsistency detection system via RAG.
- **Cloud Migration**: Migration of legacy pipelines to a Medallion architecture on Databricks.
- **Spark Optimization**: Optimization of Spark jobs to reduce costs and improve performance.
- **AI-Ready Audit**: Analysis of your data stack and roadmap for integrating LLM solutions.
- Multilingual Chatbot: Design and development of a multilingual chatbot for the company.
French
Native or bilingual
English
Native or bilingual
Chinese
Native or bilingual
Can work on-site
Paris (up to 50km), Nantes (up to 50km), Lyon (up to 50km), Marseille (up to 50km), Strasbourg (up to 50km)
Experience
- Crédit Agricole Corporate & Investment BankMachine Learning Engineer | Data ScientistBANKING AND INSURANCEJune 2025 - December 2025 (6 months)Paris, France
- Deployed and maintained a global AML detection system across 10+ countries, leveraging SWIFT, SEPA, and instant payment data to detect anomalous transactions and support compliance operations.
- Collaborated with business stakeholders to optimize performance and resolved production emergencies.
- ACC - Automotive Cells CompanyTech LeadMECHANICAL ENGINEERINGFebruary 2026 - April 2026 (2 months)Paris, France
- Migrated legacy on-premises ETL pipelines to a Medallion Architecture on Azure Databricks.
- Resolved complex PySpark performance bottlenecks, implemented best practices, and provided technical guidance to junior developers.
- TOTALENERGIES DIGITAL FACTORYAI Engineer | Data ScientistENERGY AND UTILITIESDecember 2023 - February 2025 (1 year and 2 months)Paris, France
- Designed and delivered a production-grade application, including multilingual chatbot, intelligent document retrieval, and AI-assisted risk identification to improve on-site safety operations.
- Led LLM application development from PoC to production, including system architecture, model selection, prompt engineering, model evaluation, monitoring.
- Achieved 84% user satisfaction across 10+ countries; Real life impact on life saving.
- Delivered 20+ manager-level AI enablement sessions for different business functions all over the world.
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Certifications
- Databricks Certified Machine Learning ProfessionalDatabricks
- Databricks Solutions Architect EssentialsDatabricks