Summary
Zhifan Sang is a research engineer in the Bay Area with nine years of experience building large-scale data systems, search, and machine learning models across companies from Facebook to Apple and now Luma AI. He combines strong engineering skills in Go, Python, Java, and C++ with practical ML and deep learning experience (TensorFlow, Spark) to ship multimodal image search and visual intelligence features at production scale. His background in biostatistics and academic research informs rigorous experimentation—he has implemented parallel MCMC algorithms and built widely used R packages—while his industry work spans ETL, forecasting, OCR-powered mobile search, and foundation model engineering. Comfortable moving between research and production, he has a track record of improving model accuracy via human evaluation and deploying systems that process terabytes of data. Colleagues describe him as analytically driven and curious, with a knack for turning statistical methods into robust, user-facing products.
9 years of coding experience
10 years of employment as a software developer
Bachelor’s Degree Statistics, Bachelor’s Degree Statistics at Nankai University
Front-End Web Developer Nanodegree Self-Driving Car Engineer Product Manager Nanodegree Computer Science, Front-End Web Developer Nanodegree Self-Driving Car Engineer Product Manager Nanodegree Computer Science at Udacity
Master’s Degree Biostatistics, Master’s Degree Biostatistics at Emory University
Visiting student ARCHE program Computer Science, Visiting student ARCHE program Computer Science at Georgia Institute of Technology
Data Science Immersive Data Science, Data Science Immersive Data Science at Galvanize - San Francisco, SoMa
English, Chinese