Summary
Jeffrey Hu is a software engineer with nine years of experience building data-driven applications and infrastructure, currently contributing at Citi from Tampa, Florida. He has a strong background in data engineering—designing Kafka architectures, real-time bond analytics, and automated data pipelines using Microsoft Fabric, AWS, and Databricks—combined with hands-on experience in developer tooling like Kubernetes and Jenkins. Past roles at PwC and Risk Focus emphasize his ability to translate AI and analytics into practical business insights and to reduce time-to-insight for analysts. Known for automating repetitive workflows (daily test runs and failure reporting) and mentoring colleagues on streaming technologies, he pairs pragmatic engineering with a knack for operational efficiency. He holds a BS in Computer Science and Applied Mathematics from Stony Brook and maintains an active GitHub identity (huzhanfei), signaling ongoing personal projects and curiosity beyond day-to-day work.
10 years of coding experience
2 years of employment as a software developer
Bachelor of Science - BS Computer Science and Applied Mathematics, Bachelor of Science - BS Computer Science and Applied Mathematics at Stony Brook University