Zan-Kai
AI Research & FinTech
About
Zan Kai works at the intersection of artificial intelligence research and financial technology implementation, developing solutions that transform how credit decisions are made, and financial services are delivered. With expertise in machine learning, large language models (LLMs), and blockchain technology, he currently leads AI initiatives at a fintech company while publishing research on democratizing access to advanced AI systems.
His dual focus on academic advancement and practical application reflects a commitment to responsible AI innovation that creates measurable business impact. From credit scoring models using alternative data to blockchain-based collaborative intelligence networks, Zan-Kai's work aims to make sophisticated technology accessible and valuable across contexts. His recent publications explore the integration of blockchain technology with LLMs to create more democratic access to AI capabilities.
Zan-Kai holds a Ph.D. in Engineering and has published over numerous research papers spanning data transmission, network optimization, and AI systems.
Expertise
- Machine Learning
- Large Language Models (LLMs)
- Blockchain Technology
- Credit Scoring Models
- Financial Technology
Research Focus
Current research focuses on AI applications and Large Language Models (LLMs), exploring their practical implementations across various domains. Areas of interest include LLM fine-tuning and deployment, agentic AI systems, retrieval-augmented generation (RAG), and applying transformer architectures to real-world problems in financial technology and beyond.
Contact
He can be reached at zankai[at]ieee[dot]org