Summary
Zhenning Tan is a Senior Machine Learning Engineer in San Jose with 11 years of experience building end-to-end LLM, NLP, and recommender-system products at companies including Tinder, Snap, Google, and Amazon. He bridges research and production—publishing on LLMs for conversational recommendation at Google Research and advancing speaker-identification techniques at Alexa—while shipping chatbots and agent applications in consumer products. With a PhD in Biochemistry and an MS in Computer Science, he brings uncommon cross-disciplinary expertise in experimental design, large-scale model development, and applied evaluation. Colleagues rely on him to frame ambiguous problems, turn noisy real-world data into robust models, and operationalize LLM capabilities for product impact.
11 years of coding experience
14 years of employment as a software developer
Master of Science - MS Computer Science, Master of Science - MS Computer Science at Georgia Institute of Technology
Doctor of Philosophy (Ph.D.) Biochemistry, Doctor of Philosophy (Ph.D.) Biochemistry at Indiana University Bloomington
Bachelor of Science (BS) Biotechnology, Bachelor of Science (BS) Biotechnology at Zhejiang University
English, Chinese