This is Electronic-Waste😎, aka. Shao Wang, a freshman graduate 🧑🎓 at SJTU majoring in Computer Science.
Currently, I'm pursuing CS PhD opportunities in North America for 27fall, with a research focus on Machine Learning System.
I'm also an enthusiast for the open-source community, serving as:
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Maintainer of SJTU-SE: An unofficial organization for the School of Software Engineering, Shanghai Jiao Tong University.
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Reviewer of kubeflow/trainer: Distributed ML training and fine-tuning on Kubernetes, subproject of kubeflow.
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Reviewer of kubeflow/katib: An AutoML toolkit on Kubernetes, subproject of kubeflow.
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Reviewer of kubeflow/sdk: Kubeflow SDK for ML experience.
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Member of kubernetes-sigs: Kubernetes Special Interest Groups(SIGs) - SIG Apps.
By now, I've accumulated some industrial experience related to Cloud Native AI/Storage Systems:
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Cloud @Databend: Author of Databend Operator, engaged in the development of on-premise cloud platform.
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GSoC'24 @kubeflow: Optimize the control plane of katib, providing an SDK interface for push-based metrics collection.
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Infra @BondiTech: Build a new quote storage system on Kubernetes in replace of the current CSV-based storage system.
🌟 My OSS Insight.
ℹ️ Know more about me in my blog!
📫 WeChat ID: ElectronicWs