Natan Lao

United States

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Summary

🤩

Rockstar

Natan Lao is a software developer with nine years of experience focused on computational genomics at the UCSC Genomics Institute. He builds and maintains reliable, scalable tooling for genomics workflows, contributing backend and DevOps expertise to open-source projects like Toil. His work improving logging, Azure support, and documentation shows attention to operational detail that keeps large-scale pipelines observable and portable across clouds. Based in the United States, he pairs domain-focused engineering with practical contributions that help research teams run reproducible analyses at scale.

9 years of coding experience

Spanish, English

Github Skills (10)

azure10

logging10

workflow-engine10

microsoft-azure10

python10

dockers9

devops9

docker9

cloud-infrastructure8

documentation8

Programming languages (13)

CSSGoSassJupyter NotebookTypeScriptShellSCSSJavaScript

Github contributions (5)

DataBiosphere/toil

Nov 2016 - Apr 2018

A scalable, efficient, cross-platform (Linux/macOS) and easy-to-use workflow engine in pure Python.

Role in this project:

Back-end & DevOps Engineer

Contributions:62 commits, 39 PRs, 60 pushes in 1 year 4 months

Contributions summary:Natan made several contributions focused on improving the Toil workflow engine. They fixed a copy-paste typo, and added logging of the configuration and Toil version. The user also addressed issues related to log truncation, log writing, and the handling of log filenames. Additionally, the user implemented features to support the Azure cloud provisioner, and updated the documentation.

pythoncommon-workflow-languagemesosawsslurm

UCSC-CSE123/beavertail

Apr 2020 - Jun 2020

Beavertail is the backend component of the bus management system handling bus responses and database queries

Contributions:1 release, 28 PRs, 68 pushes in 1 month

management-systembusbackendhandlingdatabase

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