Summary
Yasong Zhou is a Machine Learning Engineer with nine years of experience building and shipping production ML, deep learning, and LLM solutions across fintech and consumer platforms in the San Francisco Bay Area. He has led end-to-end initiatives from research to deployment—driving legacy-to-GPU migrations that enabled 5x model scaling and pioneering real-time streaming NLP products for call center QA and underwriting optimization with measurable business impact. At Meta and Amazon he architected scalable ranking and pricing systems, integrating state-of-the-art architectures, pretraining/fine-tuning strategies, and robust MLOps on cloud platforms like SageMaker. Comfortable across Python, TensorFlow, Hugging Face, Snowflake, Airflow and CI/CD, he combines hands-on implementation with cross-functional leadership and stakeholder engagement up to VP level. Notably, his pricing work has translated into large economic gains and pending patents, reflecting a focus on interpretable, fair models and operational reliability. Self-motivated and fast-learning, he blends research-driven model innovation with pragmatic production rigor.
9 years of coding experience
8 years of employment as a software developer
Master’s Degree, Engineering/Industrial Management, Data Science Track, Master’s Degree, Engineering/Industrial Management, Data Science Track at Duke University
Bachelor’s Degree, Marine Architecture and Ocean Engineering, Bachelor’s Degree, Marine Architecture and Ocean Engineering at Shanghai Jiao Tong University
Chinese, Chinese