Summary
Jianing (Catherine) Zhang is a software engineer and Master's student in Computational Data Science at Carnegie Mellon University with nine years of practical experience building applied ML and data systems. She has contributed to production-scale projects at Alphabet and iFLYTEK, including fraud detection improvements and an eight-stage pipeline for billion-scale multilingual audio processing that increased corpus quality and team efficiency. Her research work spans distributionally robust optimization and generative approaches for tabular data, where she improved worst-case accuracy dramatically and demonstrated synthetic data鈥檚 utility for minority-class learning. She combines strong engineering chops with rigorous research鈥攂ridging optimization theory, signal-based healthcare modeling, and large-scale data engineering鈥攖o deliver scalable, trustworthy AI solutions. Based in Pittsburgh, she is seeking summer 2026 internships in ML engineering, data science, and data engineering with a focus on healthcare and intelligent applications.
9 years of coding experience
2 years of employment as a software developer
Bachelor of Science - BS, Data Science and Mathematics, Bachelor of Science - BS, Data Science and Mathematics at New York University
Master's degree, Computational Data Science, Master's degree, Computational Data Science at Carnegie Mellon University