Summary
Lingxiao Zhang is a Digital Lead and applied machine learning practitioner with 8 years of experience translating advanced algorithms into production at scale for the energy sector. At ExxonMobil he architected and deployed an ML-driven surveillance and optimization platform for over 1,000 unconventional wells that delivered measurable production uplift, and now leads digital project delivery for production optimization. His background blends deep technical R&D—from numerical methods and parallel C++ in TCAD and seismic imaging to hands-on Python model engineering and large-scale inference—paired with proven productization and DevOps experience. Comfortable managing global teams and hybrid rule-based/ML systems, he consistently ships end-to-end solutions that turn geoscience and physics insights into operational value. Notably, his career traces a continuous thread from academic numerical simulation to industrial-scale ML deployment, giving him rare fluency across research, software engineering, and field operations.
8 years of coding experience
13 years of employment as a software developer
BS, Microelectronics, BS, Microelectronics at Peking University
MS, Electrical and Computer Engineering, MS, Electrical and Computer Engineering at University of Illinois Urbana-Champaign
High School Diploma, High School Diploma at 84 Middle School
English, Chinese, Spanish