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# Drew Yang's Github Page
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# Drew Yang's Github Page - WIP
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[](https://github.com/Yambottle/me/actions/workflows/publish-pdf.yml)
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[](https://github.com/yambottle/me/actions/workflows/publish-pdf.yml)
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## Intro
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Made a Github Page repo in order to use one single data.yaml file to generate a printer-friendly resume in PDF as well as a personal website at the same time.
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## Tutorial
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TODO - Will be documented when finished!
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- Set up Jekyll from [here](https://jekyllrb.com/docs/)
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- Set up Prince from [here](https://idratherbewriting.com/documentation-theme-jekyll/mydoc_generating_pdfs.html#1-set-up-prince)
<div>- <b>Azure: </b>Azure SQL, Storage, Data Lake Gen 2, Data Factory, Data Explorer(Kusto), Azure Function</div>
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<h5>Experience</h5>
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<div>Software Engineer</div>
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<div>Software Engineer(DevOps)</div>
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<div>July 2021 - Present</div>
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<bclass="italic-text">* SciOps Platform DevOps: </b>SciOps enables research teams to organize and automate data operations. I was assigned to work on <b>AWS</b>infrastructure provisioning and deployment using <b>Terraform</b>modules, <b>SaltStack</b> states and <b>Kubernetes kOps</b>
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<bclass="italic-text">* CICD: </b>Developing generic <b>Github Action</b>reusable workflows for <b>30+</b>repositories to automate Python packages and Docker images build, test, release/publish
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<bclass="italic-text">* SciOps MATLAB Worker Deployment: </b>MATLAB worker is a part of SciOps platform that enables <b>GPU</b>. I focused on building a MATLAB <b>docker</b>, making a <b>docker-cuda</b> environment and deploying it on an <b>EC2</b>instance with GPU.
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<bclass="italic-text">* SciOps Kubernetes Cluster: </b>Setting up and maintaining <b>Kubernetes</b> clusters for dev/test/production using <b>kOps and k3d</b>; configuring Nginx ingress controller, let's encrypt cert manager, Cillium Container Network Interface(CNI); deploying JupyterHub, flask, ReactJS, etc. using <b>helm</b>or <b>kubectl</b>
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<bclass="italic-text">* Online Workshop on JupyterHub: </b>This is a <b>week-long</b> online workshop that provides a jupyter notebook environment for <b>each</b> audience to complete several coding sessions. I worked on setting up <b>JupterHub</b> using <b>Kubernetes kOps</b> and <b>helmchart</b> on AWS. I also developed a JupyterHub load tester using <b>Selenium</b>.
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<bclass="italic-text">* SciOps Worker Clusters: </b>Configuring <b>Terraform</b>, <b>cloud-init</b> and <b>SaltStack</b> to provision CPU and GPU(<b>Nvidia/CUDA</b>) workers in different scales as needed
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<bclass="italic-text">* SciOps Operation Automation: </b>Automating SciOps operations such as onboarding new customers, managing customers' permission, generating usage and billing report, etc. using <b>Python</b>, <b>SQL</b> and <b>bash</b>
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<br>
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<divclass="space-between bold-text">
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<div>Data Scientist</div>
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<div>Software Engineer(Data Science)</div>
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<div>May 2019 - July 2021</div>
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</div>
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<bclass="italic-text">* Drilling Speed Prediction: </b>Working with a domain expert, applied Gaussian Process <b>Regression</b> for feature synthesis based on geographical information as well as <b>feature engineering</b> based on correlation matrix and F1 score ranking, built a non-linear regression model using LSTM RNN.
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<!-- <div>
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<b class="italic-text">* Image Classification: </b>This is a short-term <b>client</b> project that I worked with a senior data scientist. Applied k-Means clustering to <b>help</b> manual data labeling, then made a <b>classification</b> model for oil pump failure detection using Random Forest and CNN.
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