Summary
Yanyan Zhang is a Senior Solution Architect and GenAI specialist with a PhD in Electrical and Electronics Engineering and a focused track record applying deep learning to real-world problems across energy, cloud, and infrastructure. She progressed from academic research on spatio-temporal models and spectrum sensing to building production-ready ML solutions at AWS and now designs GenAI architectures at NVIDIA, blending research rigor with cloud-scale deployment experience. Her strengths include computer vision, seismic interpretation using DCNNs/GANs, and translating novel algorithms into tools that accelerate reservoir modeling and interpretation workflows. Notably, she improved base station traffic prediction accuracy by 25% during her PhD and has repeatedly moved prototypes into asset-scale applications in the oil & energy sector. Based in Greater Houston, she combines domain expertise in geophysics with hands-on engineering in cloud and ML systems, making her adept at bridging research, product, and operations.
2 years of coding experience
15 years of employment as a software developer
Bachelor’s Degree, Electrical and Electronics Engineering, Bachelor’s Degree, Electrical and Electronics Engineering at Beijing University of Posts and Telecommunications
Doctor of Philosophy (PhD), Electrical and Electronics Engineering, Doctor of Philosophy (PhD), Electrical and Electronics Engineering at Texas A&M University