Mingjie Tang
AI Engineer at Stealth Startup
San Francisco, California, United States
Summary
🤩
Rockstar🎓
Top SchoolMingjie Tang is an AI engineer with 11 years of experience building large-scale data and ML infrastructure, currently designing AI and data infra for LLMs at a stealth San Francisco startup. He holds a PhD from Purdue and has led end-to-end AI infrastructure and workflow scheduling at Ant Group, with prior work on Spark internals at Hortonworks and systems research during his PhD. An active open-source maintainer, he created the Kubeflow XGBoost operator and the Couler workflow DSL and contributes across Kubeflow, Spark, DMLC and Hadoop ecosystems. Mingjie blends deep research on similarity query processing with production-grade Kubernetes-native orchestration, making him adept at turning performance-focused research into reliable, scalable ML platforms.
11 years of coding experience
15 years of employment as a software developer
Bachelor of Science (BS) Computer Science, Bachelor of Science (BS) Computer Science at Sichuan UniversityMaster's degree Computer Science, Master's degree Computer Science at University of Chinese Academy of SciencesDoctor of Philosophy (Ph.D.) Computer Science, Doctor of Philosophy (Ph.D.) Computer Science at Purdue University
Chinese, English
Github Skills (146)
xgboost10
apache-spark10
python10
apache-atlas10
kubeflow10
hpa10
hadoop10
distributed-computing10
huggingface10
mlops10
automl10
gpu10
cloud-native10
k8s10
javascript10
Programming languages (9)
Github contributions (5)
ids-lab-asia/ids-lab-asia.github.io
Apr 2024 - Jan 2025
Contributions:11 reviews, 51 PRs, 39 pushes in 9 months
purduedb/LocationSpark
Jul 2015 - Sep 2016
Contributions:1 release, 67 commits, 27 pushes in 1 year 1 month
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