Lead AI R&D with a focus on knowledge retrieval, model monitoring, and enterprise delivery
Translates research breakthroughs into maintainable, reusable engineering systems
Co-creates high-trust AI capabilities with product, business, and compliance teams
Builds enterprise QA systems covering knowledge modeling, RAG/GraphRAG solutions, online services, and governance loops
Works on LLM fine-tuning and downstream tasks including instruction alignment, retrieval augmentation, tool calling/agents, and evaluation suite construction
Explores federated learning and compliance to balance privacy and efficiency in engineering practice
Drives platformization and operability: observable data/retrieval pipelines, A/B and regression testing, and staged rollout of prompts and policies