Jianfeng Xia is a software engineer based in New York with nine years of experience building high-performance, high-availability systems, currently contributing to Bloomberg’s Price History & BHATS teams. He has a strong academic foundation—BS in Computer Science from UIUC (4.0) and an MS from Carnegie Mellon—paired with practical experience at Bloomberg and an Amazon internship. Jianfeng enjoys solving complex problems and designing future-proof architectures, with a focus on scalable time-series and low-latency services. He has hands-on exposure to both research-adjacent work (teaching intro to deep learning at CMU) and production engineering, bridging theory and implementation. Known for thoughtful system design, he emphasizes reliability and performance in distributed environments. Outside core work, he brings a curiosity-driven approach that often surfaces novel optimizations rather than conventional trade-offs.
9 years of coding experience
High School Diploma, High School Diploma at Qingdao No.2 High School
University of Illinois Urbana-Champaign
Master of Science - MS, Intelligent Information Systems, 3.88, Master of Science - MS, Intelligent Information Systems, 3.88 at Carnegie Mellon University
Contributions:13 commits, 2 PRs, 9 pushes in 1 year 11 months
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