Summary
Jie Hua is a research scientist and PhD-trained software engineer with eight years of experience building production-grade systems at the intersection of contextual analysis, IoT sensing, and recommendation models. Currently at Meta, she develops modern PyTorch training platforms for large-scale recommender systems, drawing on a strong research background from UT Austin in software engineering and sensor networks. Her internships at Apple and Facebook reflect a blend of unsupervised context-aware algorithm design, iOS data pipelines, datacenter monitoring tools, and full-stack web services—skills that enable her to bridge research prototyping and production deployment. Based in Austin, she combines deep academic rigor with practical engineering, often turning noisy sensor and WiFi signals into actionable features for real-world systems.
8 years of coding experience
Master's degree, Electrical and Computer Engineering, Master's degree, Electrical and Computer Engineering at The University of Texas at Austin
Bachelor's degree, Information Technology, Bachelor's degree, Information Technology at Southeast University