Russell Horton, Developer in Fairfax, CA, United States
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Russell Horton

Verified Expert  in Engineering

Generative Pre-trained Transformers (GPT) Developer

Location
Fairfax, CA, United States
Toptal Member Since
March 14, 2018

Russell builds data-driven products and data-driven teams. He has more than 15 years of experience inventing, rapidly prototyping, and deploying products driven by machine learning and natural language processing. Russell loves consulting on data science projects in the early stages.

Natural Language Processing (NLP)Machine LearningPythonNatural Language Toolkit (NLTK)ScalaSparkMongoDBMeteor

Availability

Part-time

Preferred Environment

Prototyping, Generative Pre-trained Transformers (GPT), GPT, Natural Language Processing (NLP), Scala, Python

The most amazing...

...project I've worked on was an early detection system for emerging pandemics for the Defense Threat Reduction agency, powered by textual analysis of local news.

Work Experience

Senior Security Analyst

2018 - PRESENT
GitHub
  • Oversaw machine learning for abuse and fraud prevention.
Technologies: Machine Learning, Python

Lead Data Scientist

2015 - 2017
Verizon Labs
  • Built movie and TV recommendations system.
  • Innovated and prototyped numerous TV and movie viewing products and product features.
  • Led team of data scientists to build the future of TV.
  • Used NLP to analyze television captions to power new viewing experiences.
Technologies: Python, Apple Logic Studio, Spark, Scala

Senior Data Scientist

2014 - 2015
EcoHealth Alliance
  • Developed a machine learning system to detect emerging disease epidemics.
  • Built an open-source NLP annotation framework.
  • Led a heterogenous team including data science, design, and dev ops.
Technologies: Stanford NLP, Scala, Meteor, Python

Computational Linguist

2008 - 2014
Reverb
  • Built a content-based recommender system for news and web content.
  • Developed a data-driven dictionary.
  • Built a search with an auto-complete feature.
  • Designed a machine for entity and concept recognition.
Technologies: Stanford NLP, Python, Scala

Linguistic Annotation Framework

https://github.com/ecohealthalliance/annie
Provides a unifying framework for adding various kinds of linguistic annotations (part-of-speech, ngram, concept annotation, etc).

Other

Machine Learning, Natural Language Processing (NLP), GPT, Generative Pre-trained Transformers (GPT), Prototyping

Languages

Python, Scala, JavaScript

Frameworks

Spark

Libraries/APIs

Natural Language Toolkit (NLTK), Stanford NLP

Tools

Apple Logic Studio

Platforms

Meteor

Storage

MongoDB

2010 - 2012

Master's Degree in Lingustics

UCSD - San Diego, California

1998 - 2002

Bachelor of Arts Degree in Lingustics

University of Chicago - Chicago, IL