Summary
Jui Lin is an AI Scientist and PhD-trained machine learning researcher with 10 years of experience building production-ready NLP and multimodal systems that bridge academic rigor and commercial impact. She has a track record across industry and academia—at Deeli AI, GliaCloud, DiDi and Tsinghua—shipping search, RAG, and user-preference systems that improve relevance, explainability, and operational metrics. Her research at RPI and Tsinghua spans LLM evaluation, synthetic preference generation, and GAN-based data augmentation, with practical innovations like hybrid deterministic–LM evaluation and cDCGAN election-data synthesis. Jui’s strengths lie in turning complex model insights into deployable pipelines (e.g., automated type-annotation and flowchart conversion tools) and in optimizing embedding and keyword mappings to boost retrieval quality. Based in Troy, NY, she combines deep technical breadth—from XGBoost diagnostics to multimodal transformers—with a curiosity-driven habit summarized on GitHub as “Keep learning.” Notably, she focuses on human alignment and verifiable knowledge integration, emphasizing confidence metrics alongside model outputs.
10 years of coding experience
4 years of employment as a software developer
Bachelor's degree, Mechanical engineering, Bachelor's degree, Mechanical engineering at National Central University
Doctor of Philosophy - PhD, Computer Science, Doctor of Philosophy - PhD, Computer Science at Rensselaer Polytechnic Institute
Master's degree, Automation, Master's degree, Automation at Tsinghua University
English, Chinese, Mandarin