Junhong (Harrison) Liang is an NLP researcher and engineer with five years of applied experience building speech and language systems across industry and academia. He has developed patented algorithms for audio sampling-rate detection and ASR correction, built high-accuracy models for speaker counting and voice recognition, and scaled multilingual datasets to hundreds of millions of examples while leveraging his fluency in Japanese and French for quality filtering. His work spans classic signal-processing solutions for hearing aids to modern LLM fine-tuning for grammatical error correction and knowledge-backed chatbots. A pragmatic problem-solver with a physics and math foundation (top thesis honors and exchange at UC Berkeley), he blends rigorous research with product-minded engineering and a restless curiosity captured by his motto: chase the wind.
5 years of coding experience
Exchange Student, Physics, Exchange Student, Physics at University of California, Berkeley
Master, National Key Laboratory of Pattern Recognition, Natural Language Processing, GPA: 3.95/4.00, Master, National Key Laboratory of Pattern Recognition, Natural Language Processing, GPA: 3.95/4.00 at Institute of Automation, Chinese Academy of Sciences
Doctor of Philosophy - PhD, Natural Language Processing, Doctor of Philosophy - PhD, Natural Language Processing at MBZUAI (Mohamed bin Zayed University of Artificial Intelligence)
High School Diploma, High School Diploma at No.1 Middle School of Jingzhou Miao and Dong Autonomous County
Minor Bachelor Degree, Mathematics, Minor Bachelor Degree, Mathematics at University of Chinese Academy of Sciences
Contributions:4 pushes, 1 branch in 2 years 4 months
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