Summary
Yi-zhen Zhang is a Machine Learning Engineer with 8 years of experience specializing in NLP and large language models, currently building LLM-powered chatbot products and backend systems at an internal startup within CMoney. She combines research rigor—developing BERT-based summarization systems during her graduate work that outperformed GPT-3.5 in user preference—with practical product impact, including a 10x LLM inference speedup and a 29% precision boost from a semantic search pipeline. Comfortable translating business needs into technical solutions, she regularly partners with non-technical stakeholders to deliver MVPs and measurable outcomes for investors in Taiwan. Her profile blends academic credentials (Master’s and research roles at National Tsing Hua University) with hands-on engineering across backend, inference optimization, and Android feature work. Short-term she is focused on leadership growth and delivering tangible business value; longer-term she aims to expand her AI contributions in Japan. An often-overlooked strength is her ability to increase annotation and inference throughput, turning model improvements into operational advantage.
8 years of coding experience
3 years of employment as a software developer
Master's degree, Institute of Information Systems and Applications, 4, Master's degree, Institute of Information Systems and Applications, 4 at National Tsing Hua University