Huiting L is a machine learning leader and entrepreneur with a decade of experience building production AI systems across consumer search, NLP, and ads. As Co-Founder & CTO of Twin-1 AI and previously an ML engineering manager at Moloco, she has led cross-continental teams to optimize deep-learning conversion and post-install prediction models at scale. Her background includes tuning Siri NL models at Apple and building legal-document QA systems at Eigen, reflecting strong applied NLP and product-focused ML expertise. Early work at Baidu involved backend architecture and recommender systems, where she was a founding engineer on the Zuoyebang incubation and earned an Outstanding Contribution Award. Trained at Carnegie Mellon and BUPT, she blends rigorous CS foundations with startup grit and a track record of turning research into high-impact production features.
10 years of coding experience
12 years of employment as a software developer
Bachelor's Degree, Computer Science, Bachelor's Degree, Computer Science at Beijing University of Posts and Telecommunications
Master’s Degree, Computer Science, Master’s Degree, Computer Science at Carnegie Mellon University
RAGFlow is an open-source RAG (Retrieval-Augmented Generation) engine based on deep document understanding.
Contributions:1 push, 1 branch in 10 days
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