Alan Chin
Software Engineer at IBM
San Francisco, California, United States
Summary
🤩
Rockstar🎓
Top SchoolAlan Chin is a software engineer with a decade of experience building productivity tooling and infrastructure for data science and distributed systems from San Francisco. At IBM he integrated AI-centric Jupyter tooling like Elyra with pipeline runtimes (Airflow, Kubeflow), ran large bare-metal and Kubernetes clusters, and managed CI/CD and SCM for 20+ projects. A hands-on back-end and DevOps contributor to notable open-source projects such as Elyra and Jupyter Enterprise Gateway, he implemented job submission, logging, and SparkR/kernel improvements that enable multi-tenant, scalable notebook workloads. He combines systems-level administration with developer-facing product work, often stepping into scrum-master and advocacy roles to align stakeholders and ship features. A former Air Force aerospace maintainer, he brings mission-driven troubleshooting, disciplined automation (Perl, Chef, Ansible) and an ability to ramp into new languages and platforms quickly.
11 years of coding experience
3 years of employment as a software developer
San José State University
Github Skills (26)
docker10
python10
jupyter10
r10
dockers10
airflow10
jinja29
yarnpkg9
devops9
yarn39
yarn-berry9
yarn29
kubeflow-pipelines8
kubernetes-pods8
jupyterlab8
Programming languages (10)
Github contributions (5)
elyra-ai/elyra
Jul 2018 - Jan 2023
Elyra extends JupyterLab with an AI centric approach.
Role in this project:
Back-end Developer & DevOps Engineer
Back-end Developer & DevOps EngineerContributions:3 releases, 417 reviews, 394 commits in 4 years 6 months
Contributions summary:Alan contributed to the development of the Elyra project by implementing features related to job submission messaging and creating an Airflow DAG with various parameters. They modified existing code to display success and failure messages with error details, and they configured an Airflow DAG template to support component execution. They also introduced changes related to logging within the Jupyter framework and updated the server extensions.
aielyrajupyterlabnotebooksnotebook-jupyter
jupyter-server/enterprise_gateway
Jun 2017 - May 2022
A lightweight, multi-tenant, scalable and secure gateway that enables Jupyter Notebooks to share resources across distributed clusters such as Apache Spark, Kubernetes and others.
Role in this project:Back-end & DevOps Engineer
Back-end & DevOps EngineerContributions:14 reviews, 56 commits, 55 PRs in 4 years 11 months
Contributions summary:Alan primarily contributed to the R kernel implementation within the Jupyter Enterprise Gateway. They added support for 'pull' and 'socket' modes, along with fixing syntax errors and addressing termination issues. The user also introduced features such as lazy evaluation for the SparkR session and context, created options for custom application names, and fixed an issue that was not using sparkConfig for eager mode. Additionally, the user contributed to integration testing and performed docker image updates.
apache-sparkjupyter-notebookkubernetesmulti-tenantjupyter
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