Vincent Raerek

Programmer

I’m a programmer interested in the application of statistical learning and AI to attention and decision-making. I have over six years’ combined experience in software engineering and machine learning, including three in industry. I specialize in data ETL, database management, data visualization and statistical analysis, including machine learning.

Location
Los Angeles, California, United States
Phone
(808) 292-6333
Website
https://vaer-k.net
GitHub
vaer-k
Twitter
vaer_k
LinkedIn
Vincent Raerek

Experience

Machine Learning Engineer at Banjo

Geolocation platform providing location and event data to emergency services.

Highlights

  • Developed ML pipelines to classify text, images, and audio for use in large-scale location-based data aggregation service
  • Designed and developed multi-source data ingestion system for performing real time classification and predictions
  • Performed NLP processing of data from emergency service and social media updates to classify and geolocate messages
  • Developed metrics dashboard for visually communicating live data pipeline status and performance metrics

Data Engineer at POPSUGAR

Women’s lifestyle media covering pop culture and entertainment

Highlights

  • Designed and developed full stack analytics product (TrendRank) from conception to launch using a combination of Python, mySQL and Apache Spark
  • Contributed to PHP backend and Javascript frontend of large-scale media blog
  • Using Apache Spark, designed and implemented pipeline for ETL operations and statistical modeling and analysis (machine learning) of large-scale media data
  • Wrote Python back end server architecture using Flask microframework
  • Developed NLP tool for classifying editorial content by topic and market vertical

Library Assistant I at San Mateo County Library

Highlights

  • Wrote and executed science and technology programming for hundreds of teen students, which included soldering and constructing a neural signal amplifier for experimenting on live invertebrates
  • Built automated calendar app in Javascript for 2014 summer reading program

Research Assistant at UC San Francisco, Gazzaley Lab

Highlights

  • Developed programs using MNE-Python analysis suite and R to analyze electrical patterns in brain data

VLS Technician, Gunner's Mate, 3rd Class Petty Officer at US Navy

Highlights

    Education

    Bachelor in Psychology from University of Hawaii at Manoa with GPA of 3.7

    Courses

      Skills

      Data management
      Level: Master
      Keywords:
      • Python
      • mySQL
      • MongoDB
      Machine Learning
      Level: Master
      Keywords:
      • Scikit-Learn
      • algorithms
      • statistics
      Web Development
      Level: Intermediate
      Keywords:
      • HTML
      • CSS
      • Javascript

      Interests

      Reading
      Keywords:
      • SciFi
      • Fantasy
      • Technical
      Outdoors
      Keywords:
      • Hiking
      • Camping
      • Surfing

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