Ningyu Shi
Chief Architect Principle Machine Learning Engineer at Visa
Austin, Texas, United States
Summary
👤
Senior🎓
Top SchoolNingyu Shi is a seasoned machine learning and data platform architect with 17 years of experience building high-performance, large-scale data and AI systems. Currently Chief Architect and Principal Machine Learning Engineer at Visa leading the AI-as-a-Service team, he previously shaped AI platform strategy as Lead Data Engineer and held senior engineering roles across Oracle, Broadway Technology, Cadence, Synopsys and Magma. Trained in physics and electrical engineering at UT Austin and USTC, he blends deep quantitative rigor with pragmatic engineering to operationalize ML at enterprise scale. Known for moving complex models and pipelines into production, he focuses on systems that balance throughput, reliability, and maintainability. Based in Austin, he brings rare cross-domain fluency—from silicon-era design tools to modern AI platforms—enabling end-to-end solutions that teams can reliably run in production.
18 years of coding experience
14 years of employment as a software developer
MS Electrical Engineering, MS Electrical Engineering at The University of Texas at AustinBS Physics, BS Physics at University of Science and Technology of ChinaHefei No. 1 High School
Stackoverflow
988reputation
334kreached
12answers
11questions
protocol-buffers
top-5%
Github Skills (19)
scalable10
protocol-buffers9
build-system9
bazel9
cpp9
isearch8
emacs8
cmake8
ivy8
conan8
download-manager7
frontend7
api6
android6
memory-management6
Programming languages (4)
Github contributions (5)
abo-abo/swiper
Sep 2018 - Jun 2020
Ivy - a generic completion frontend for Emacs, Swiper - isearch with an overview, and more. Oh, man!
Contributions:6 comments, 2 issues in 1 year 8 months
emacsfrontendisearchivyswiper
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