From 6201c3c4a697c6bc732455657652381edb6ff31d Mon Sep 17 00:00:00 2001 From: Drew Yang Date: Thu, 27 Jun 2024 16:05:02 -0500 Subject: [PATCH] =?UTF-8?q?fix:=20=F0=9F=90=9B=20major=20update=20after=20?= =?UTF-8?q?DevOpsDays?= MIME-Version: 1.0 Content-Type: text/plain; charset=UTF-8 Content-Transfer-Encoding: 8bit --- _sass/raw-resume.scss | 14 ++++++-- raw-resume.html | 60 +++++++++++++++++++++++++++------ resume/drewyang_resume.pdf | Bin 98492 -> 75899 bytes resume/drewyang_resume2023.pdf | Bin 0 -> 98492 bytes 4 files changed, 61 insertions(+), 13 deletions(-) create mode 100644 resume/drewyang_resume2023.pdf diff --git a/_sass/raw-resume.scss b/_sass/raw-resume.scss index bcff343..295b3c0 100644 --- a/_sass/raw-resume.scss +++ b/_sass/raw-resume.scss @@ -13,11 +13,19 @@ $font-size: 10pt; } .space-between { - display: flex; justify-content: space-between; + display: flex; + justify-content: space-between; } -.content-padding-left{ - padding-left: 1.5*$font-size; +.exp-content { + // padding-left: 1.5*$font-size; + padding-left: 0; +} + +.exp-content ul { + padding: 0; + margin-left: 1rem; + margin-bottom: 0; } .bold-text { diff --git a/raw-resume.html b/raw-resume.html index 564f143..29a936e 100644 --- a/raw-resume.html +++ b/raw-resume.html @@ -14,7 +14,7 @@

{{site.name}}

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LinkedIn
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Website
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Technical

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Technical Skills
Experience
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Software Engineer(DevOps)
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DevOps Engineer
July 2021 - Present
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DataJoint - Science Operation for Neuroscience. [Open-source] and [Commercial]
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DataJoint - Provide science operation for neuroscience research.
Houston, TX
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  • DataJoint Works - A SaaS platform to empower scientists to design and operate data pipelines for their experiments and analysis in a more efficient, scalable, valid and reproducible way. [Details]
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    • Administrated DataJoint's and several other customers' AWS account with IoC concept using Terraform and boto3.
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    • Configured VPC, Subnet, IAM, S3, EFS, EC2, RDS, Lambda, SQS, SNS, SES, CloudWatch, Route 53 and Secrets Manager.
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    • Provisioned and maintained production and QA Kubernetes clusters with kOps and helm.
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    • Architected and implemented ephemeral computational cluster with Packer and Terraform to support CPU and GPU usage.
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    • Developed CI/CD pipelines with Github Actions starter and reusable workflows to automate build, test and deployment.
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    • Integrated Jupyterhub and kernel gateway as part of the internal developer portal.
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    • Implemented customer onboarding API with Flask, SQL, bash, boto3 and Terraform to automate infrastructure provisioning.
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    • Introduced OpenTelemetry to the team and integrated observability with CloudWatch, Datadog and LGTM stacks(Grafana).
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    • Implemented single single-on, role-based access control, secret manager, vulnerability scan for security compliance.
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    • Collaborated with the team in Agile approach using Jira and Confluence, also used Github Project for open-source projects.
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  • DataJoint Core/Elements - DataJoint Core is an open-source toolkit for defining and operating computational data pipelines. DataJoint Elements is a collection of pre-assembled modules for neuroscience pipelines. [Github]
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    • Collaborated with internal scientists to standardize the support of Matlab and GPU for several workflows.
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    • Implemented dev container for open-source repositories to allow any collaborators to work on Github Workspace.
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    • Integrated mkdocs to improve documentation development efficiency and reader experience.
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  • DataJoint Works, Core and Elements improve research efficiency of 10+ neuroscience labs as of this moment. My contribution technically improves DataJoint Works' robustness, flexibility and scalability, also automated manual toil through internal and external collaboration to improve the productivity in both commercial and open-source development.
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Software Engineer(MLOps)
May 2019 - July 2021
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dataVediK - Optimize Oil & Gas operations by Machine Learning. [DrillVedik]
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dataVediK - Optimize oil and gas operations by machine learning.
Houston, TX
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  • Hyper-converged Data Analysis Platform - An SaaS platform integrated data management, machine learning and data analytic services for oil and gas. [DrillVedik]
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    • Implemented CI/CD pipelines with Azure DevOps and Jenkins for build, test, validation and deployment.
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    • Integrated MLflow as machine learning operational pipeline to improve model comparison, versioning and serving.
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    • Set up Airflow to automate data processing pipeline.
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    • Developed DrillVedik interactive drilling analytic dashboard with Plotly Dash, Flask and Redis.
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    • Architected and developed full stack of the prediction task manager web application with HTML, CSS, JavaScript, Flask, Celery, RabbitMQ, gunicorn, nginx.
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    • Analyzed drilling pump operation data and trained multiple machine learning models to classify drilling status.
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    • Researched and applied feature engineering on drilling sensor data, trained a regression model for drilling speed prediction.
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  • Although this was a MVP project, I have learned and practiced varieties of hands-on skills from software development and deployment, machine learning to cloud computing. Also inspired me about the importance of DevOps through the collaboration.
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