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Kyle Gallatin

Senior Software Engineer I, Machine Learning at Etsy

New York, NY, US

About

Software Engineer for machine learning infrastructure and delivery at scale. Languages & Frameworks: Python | Docker | Kubernetes | GCP | AWS | Elasticsearch | Linux | Git | Kubeflow | Airflow | Scala/Spark Skills: MLOps | Dev/Ops | NLP | General ML | Deep Learning | Agile | Presentation | Education

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Work experience

  1. April 2022 – present

    Etsy

    Senior Software Engineer I, Machine Learning
  2. January 2018 – present

    NYC Data Science Academy

    Data Science Mentor
    Consult students on data science projects in R, Python, SQL, ML and general engineering. Train new data scientists to employ real world machine learning skills.
  3. October 2020 – April 2022

    Etsy

    Software Engineer, Machine Learning Platform
  4. July 2019 – September 2020

    Pfizer

    Machine Learning Engineer
    • Product owner of a scalable end-to-end MLOps pipeline deploying models to Kubernetes • Dev team lead for machine learning infrastructure and dev/ops • Deployed ML and DL models to serve predictions to multiple applications in real time • Designed a novel CI/CD machine learning workflow bringing dev/ops to ML solution delivery
  5. November 2017 – June 2019

    Pfizer

    Data Scientist
    • Developed novel multilingual search tool for medical information using Elasticsearch to serve thousands of health care practitioners in China (70k requests first week) • Used tree-based and regularized models to predict clinical trial outcomes from clinical and gene expression data
  6. July 2017 – January 2018

    FleetWit

    Data Scientist
    • Performed analysis and structuring on company user data streamed from remote MongoDB • Improved marketing impact by analyzing app advertisement data using the Facebook API and Facebook Ads Manager data
  7. September 2017 – November 2017

    Pfizer

    Associate Data Scientist (Intern)
    • Built ML algorithms to improve customer targeting and segmentation for Pfizer products
  8. April 2017 – September 2017

    NYC Data Science Academy

    Data Science Consultant
    • Aided in development of a platform to test students in R, Python, SQL and ML • Created self grading problems and data science workflows/structures for student practice • Consulted students on data science projects, aided in R, Python, SQL and ML skill development
  9. IsoPlexis
    November 2015 – January 2017

    IsoPlexis

    Data Analyst
    • Used machine learning algorithms (PCA) to analyze cellular data and enhance research on novel protein subgroups of clinical significance using R. • Ran statistical significance tests (ANOVA, Mann-Whitney, etc) on pharmaceutical clinical trials data using R, Python and excel to research drug efficacy and effect. • Grew research utility and analytics interpretability with techniques for sparse and multidimensional data. • Supported several successful government grant wins with drafting, data organization, and data visualization.

Education

  1. 2017 – 2017

    NYC Data Science Academy

    Certification, Data Science
  2. 2015 – 2016

    Quinnipiac University

    Master's degree, Molecular and Cellular Biology
  3. 2011 – 2015

    Bachelor's degree, Biology