Philip Ramirez, Ph.D.

Philip Ramirez, Ph.D. Email and Phone Number

Senior Data Engineer @ Vytalize Health
Vancouver, WA, US
Philip Ramirez, Ph.D.'s Location
Vancouver, Washington, United States, United States
Philip Ramirez, Ph.D.'s Contact Details

Philip Ramirez, Ph.D. personal email

n/a
About Philip Ramirez, Ph.D.

PhD, Data Engineer and expert in Python with a strong background in data modeling, Econometrics and Statistics. Industry experience in Data Science/Engineering, Machine Learning, NLP and healthcare data.

Philip Ramirez, Ph.D.'s Current Company Details
Vytalize Health

Vytalize Health

View
Senior Data Engineer
Vancouver, WA, US
Employees:
219
Philip Ramirez, Ph.D. Work Experience Details
  • Vytalize Health
    Senior Data Engineer
    Vytalize Health
    Vancouver, Wa, Us
  • Vytalize Health
    Data Integration Manager
    Vytalize Health Nov 2024 - Present
    Hoboken, New Jersey, Us
  • Vytalize Health
    Senior Data Engineer
    Vytalize Health Jan 2023 - Nov 2024
    Hoboken, New Jersey, Us
    • Evaluated available Big Data technologies and architected a scalable, governed, robust Lakehouse solution (AWS/Databricks) for enterprise healthcare data• Created the blueprint for how to own, plan, and drive the engineering implementation of data solutions involving cross-functional inputs and priorities• Spearheaded the data integration and modeling initiative, transitioning Vytalize Health from a monolithic data solution to a malleable big data platform guiding by best ETL/ELT principles • Develop, maintain, and safeguard technology standards and implementation best practices • Mentor and provide technological guidance for mid level engineers and analysts
  • Olive Ai
    Senior Data Engineer
    Olive Ai Jun 2022 - Jan 2023
    • Joined team of data engineers in a mentorship/leadership capacity• Leveraging DevOps experience, transitioned existing pipelines to containerized, cloud based environment• Refactored, optimized, and automated (with CI/CD principles) adhoc onboarding pipelines in order to scale• Used Big Data principles and technologies toward heathcare data, gleaning nationwide insights
  • Apple
    Data Engineer
    Apple Sep 2019 - Jun 2022
    Cupertino, California, Us
    • Continuously monitored and applied necessary adhoc fixes to machine learning NLP model pipelines• Built internal tools to increase the agility of model promotion from training to device deployment • Developed full-stack web app with Python (deployed with Docker and Kubernetes) to track and visualize pipeline/model performance metrics, i.e., model staleness and model error rates over time• Consistently synced with engineers, data scientists, and analysts on dynamic project parameters
  • Samsung Research America
    Computational Linguist
    Samsung Research America Feb 2018 - May 2019
    • Developed scripts to assist on model training and model deployment at scale• Architected and maintained database systems and pipelines across multiple teams• Built a full stack web tool aimed at generating training/test data utilizing a Spring Framework• Wrangled, processed, and transformed data leveraged by NLP Machine Learning Models• Automated Grammar data generation and evaluation process used by the Computational Linguists• Parsed, analyzed, and visualized archived data to gain insights into usage patterns• Applied a K-Means clustering algorithm to unlabeled data to identify highly requested new features
  • Apple
    Nlp Analyst, Siri
    Apple Oct 2016 - Oct 2017
    Cupertino, California, Us
    • Tested, diagnosed, fixed, and delegated Siri natural language bugs accordingly• Tooled with Python, using internal APIs, to automate tasks related to machine learned language• Queried big data in order to compile, process, and transform data for analysis• Created the infrastructure for new natural language domains in order to support future Sirifunctionalities• Defined and maintained documentation guidelines detailing language taxonomy• Continuously synced with engineers, managers, and analysts in order to sharpen the accuracy of Siri's machine learned models
  • Apple
    Systems Analyst
    Apple Jun 2015 - Oct 2016
    Cupertino, California, Us
    • Enhanced the functionality of cloud localization services through data analysis, interpretation, and voice command quality assurance • Collaborated with Project Engineers and team members in order to sync on dynamic project parameters • Upheld high level productivity and accuracy performance metrics while adapting to constantly changing guidelines • Performed weekly evaluations highlighting peers’ strengths and deficiencies with training data

Philip Ramirez, Ph.D. Education Details

  • University Of Reading
    University Of Reading
    Phd Economics
  • University Of California, Davis
    University Of California, Davis
    Economics
  • San José State University
    San José State University
    Economics

Frequently Asked Questions about Philip Ramirez, Ph.D.

What company does Philip Ramirez, Ph.D. work for?

Philip Ramirez, Ph.D. works for Vytalize Health

What is Philip Ramirez, Ph.D.'s role at the current company?

Philip Ramirez, Ph.D.'s current role is Senior Data Engineer.

What is Philip Ramirez, Ph.D.'s email address?

Philip Ramirez, Ph.D.'s email address is ph****@****ung.com

What schools did Philip Ramirez, Ph.D. attend?

Philip Ramirez, Ph.D. attended University Of Reading, University Of California, Davis, San José State University.

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