Jack W.
Software Engineer
Summary
👤
SeniorJack Xie is a data science and engineering leader with over a decade of experience designing large-scale analytics platforms and turning complex business problems into actionable data products. Currently heading Huawei’s John von Neumann Data Studio, he has grown and led 100+ cross-functional teams to deploy AI solutions across finance, fraud prevention, RPA, and forecasting. Previously at Yahoo he architected global search marketplace analytics, standardized regional workflows, and automated dashboards that informed executive decisions during major migrations. His background blends academic rigor (PhD in Computer Science) with hands-on systems work—from Hadoop/MapReduce pipelines and recommendation engines at MySpace to contributing an index-advisor feature and kernel fixes in the openGauss database. Known for marrying fast prototyping with production-grade data governance, he uniquely bridges research, product, and infrastructure to deliver measurable business impact. Based in New York, he combines a researcher's curiosity with operator-level execution across analytics, modeling, and platform architecture.
10 years of coding experience
Stackoverflow
180reputation
18kreached
13answers
4questions
Github Skills (15)
c-language10
cprogramming-language10
sql10
database-optimization10
performance-tuning9
parse-server6
heroku6
heroku-postgres6
nodejs6
apache-kafka6
mongodb6
sqlalchemy6
postgresql6
python6
retrofit6
Programming languages (8)
Github contributions (5)
opengauss-mirror/openGauss-server
Jul 2020 - Dec 2022
openGauss kernel
Role in this project:
Back-end Developer & Database Engineer
Back-end Developer & Database EngineerContributions:49 commits, 1 comment in 2 years 5 months
Contributions summary:Jack contributed to the openGauss kernel by fixing a compiling error in the `misc.cpp` file, likely related to sign-compare issues. They also implemented a new feature: an index-advisor for single queries, demonstrating an understanding of database optimization. This involves developing functionality to analyze queries and recommend index creation to improve performance. Additionally, the user updated the X-Tuner, suggesting involvement in performance tuning and optimization tools.
kernelopengauss
wotchin/SmooFaceEngine
Apr 2018 - Jan 2022
A high-performance demo for face recognition based on deep learning.
Contributions:3 releases, 42 commits, 1 PR in 3 years 9 months
deep-learningface-recognitionkerasam-softmaxtensorflow
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