Summary
Jialu Sui is a Developer Technology Engineer at NVIDIA with 11 years of experience bridging data science, engineering, and product analytics. She has practical expertise building scalable data pipelines and dashboards—having transformed and monitored tens of millions of events at Duolingo—and has applied NLP and unsupervised learning to extract and analyze millions of food records in academic research. Comfortable across Python, SQL, DBT, Airflow, BigQuery and visualization tools, she moves fluidly between prototyping models and production-ready data infrastructure. Jialu’s background combines rigorous academic training (CMU, UCSD) with hands-on roles in bioinformatics, consulting, and software engineering, which helps her translate ambiguous research questions into actionable product insights. Colleagues would note her knack for improving data dictionaries and tracking quality at scale—she once expanded a lab food ontology by 20% through careful error analysis. Based in Pittsburgh, she brings a data-first mindset to developer tooling and platform problems.
11 years of coding experience
4 years of employment as a software developer
University of California, San Diego
Master's degree Master of Computational Data Science, Master's degree Master of Computational Data Science at Carnegie Mellon University