Lane Barlow

Staff Software Engineer at Deep 6 AI
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Contact Information
us****@****om
(386) 825-5501
Location
Kihei, Hawaii, United States, US

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Experience

    • United States
    • Software Development
    • 1 - 100 Employee
    • Staff Software Engineer
      • May 2023 - Present

      I continue to architect improvements Deep 6's FHIR enrichment pipeline - recent focuses include cost reduction and improved observability.

    • Senior Software Engineer, Tech Lead - Data
      • Jan 2023 - May 2023

      I architected and led the on-time delivery of Deep 6's FHIR enrichment and indexing pipeline.

    • Senior Software Engineer - Data
      • Jan 2021 - Dec 2022

      I design, plan, implement, test, review, and maintain backend software that powers Deep 6's core products, such as our patient-study matching system. I work on systems like - ETL pipelines - search indexes - data access APIs

    • Data Engineer
      • Mar 2019 - Jan 2021

      Pasadena, CA

    • Software Engineer
      • May 2018 - Nov 2018

      Poway, California Developed backend features for DataSense's Spark IDE product • Designed code generation and source control management framework for Spark pipelines • Practiced detailed code review • Improved performance of key API endpoints - by 80% in one case

    • Data Engineer
      • Nov 2017 - May 2018

      Melbourne, Victoria, Australia As external contractor: guided team with diverse skill sets in using Spark to build scalable data pipelines that extract, transform and load terabytes daily (on-site in Melbourne, Victoria, Australia) • Built and deployed 3 stable data pipelines flaky on-prem cluster • Spearheaded test fixture that identified numerous bugs in definition of key metrics • Upskilled several data scientists to build and debug Spark applications • Wrote extensive documentation endorsed enthusiastically… Show more As external contractor: guided team with diverse skill sets in using Spark to build scalable data pipelines that extract, transform and load terabytes daily (on-site in Melbourne, Victoria, Australia) • Built and deployed 3 stable data pipelines flaky on-prem cluster • Spearheaded test fixture that identified numerous bugs in definition of key metrics • Upskilled several data scientists to build and debug Spark applications • Wrote extensive documentation endorsed enthusiastically by technical owners

    • Software Engineer
      • Jan 2017 - Nov 2017

      Poway, California Developed analytics and BI tools utilized by Twine’s data scientists to deliver insights to industry leaders • As #1 contributor, maintained open-source framework Spark Modularized View (SMV), utilized in all of Twine’s and DataSense’s analytics projects and now utilized across the globe • Created SMV code generation server for DataSense’s React-based Spark IDE - bug-free since merge

    • Software Engineer Intern
      • Apr 2016 - Dec 2016

      Rancho Bernardo, California • Developed Docker builds of SMV and Twine’s BI application - the SMV build was used by clients in production • Created data visualizations like heatmaps and a 3D scatter plot for Twine’s Angular-based BI front-end

Education

  • University of California, San Diego
    Bachelor’s Degree, Mathematics, Computer Science
    2013 - 2016

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