John Yao
Software Engineer at Smart Data Solutions
Plano, Texas, United States
Summary
🤩
Rockstar🎓
Top SchoolJohn Yao is a pragmatic software engineer with five years of hands-on experience building full-stack web and mobile applications, and a recent MS in Computer Science from UT Dallas. He has delivered production integrations and data pipelines (APIs, SQL data warehouses, Power BI) and shipped React/React Native front-ends backed by AWS and Firebase/Express backends. At Smart Data Solutions he troubleshoots Java and database job-processing issues and documents solutions to improve client stability, while mentoring student teams on architecture and best practices at UT Dallas. He also contributes to open-source ML infrastructure—adding compatibility and offload activation fixes to the well-regarded ColossalAI project—showing an interest in large-model efficiency beyond his web-focused roles. Based in Plano, Texas, he combines practical operational troubleshooting with a curiosity for scalable ML systems and rapid delivery.
5 years of coding experience
1 year of employment as a software developer
Master of Science - MS, Computer Science, Master of Science - MS, Computer Science at The University of Texas at Dallas
Github Skills (8)
pytorch10
machine-learning10
deep-learning10
model-optimization10
large-scale9
checkpointing9
ai9
checkpoint9
Programming languages (3)
Github contributions (5)
hpcaitech/ColossalAI
Jul 2022 - Jan 2023
Making large AI models cheaper, faster and more accessible
Role in this project:
ML Engineer
ML EngineerContributions:133 reviews, 49 commits, 92 PRs in 5 months
Contributions summary:John contributed to the `colossalai` repository, which focuses on large AI model efficiency. Their commits primarily involve code style polishing, and the addition and testing of model compatibility with the `colotracer`. The user also addressed activation checkpointing by replacing `torch.utils.checkpoint` with `colossalai.utils.checkpoint` for offload activation. These contributions suggest involvement in model optimization and integration within the ColossalAI framework.
heterogeneous-trainingcolossal-aifinetuningdeep-learninginference
Cypher30/ColossalAI
Jul 2022 - Feb 2023
Colossal-AI: A Unified Deep Learning System for Big Model Era
Contributions:5 PRs, 266 pushes, 74 branches in 7 months
colossal-aideep-learningmachine-learningcolossalera
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