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Aaron G Beppu

from San Francisco, CA
Age ~37
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Also known as:
Aaron Gabriel Beppu
Related to:
Felicia F Beppu, 58Lincoln BeppuLincoln Beppu, 40Lincoln BeppuTeru BeppuSteven Beppu, 75
Connected to:
Bruno C Beppu, 53Leticia Beppu, 44Donald J Bepristis, 78Jarred B Bepristis, 40Omar S Beqaj, 56Kujtim Beqiraj, 78Dritan Beqiri, 49Haki Beqiri, 82August B Bequai, 81William S Bequeath, 74

Aaron Beppu Phones & Addresses

  • San Francisco, CA
  • New York, NY
  • Palo Alto, CA
  • Woodinville, WA
  • Berkeley, CA

Work

Company: Sift science Nov 1, 2013 Position: Principal software engineer

Education

Degree: Bachelors, Bachelor of Arts School / High School: University of California, Berkeley 2005 to 2008 Specialities: Cognitive Science

Skills

Hadoop • Big Data • Data Mining • Software Development • Information Retrieval • Search • Data Visualization • Jvm Languages • Hbase • Funnel Analysis • Amazon Web Services • Scalability • Mapreduce • Scala • Machine Learning • Software As A Service

Languages

English

Interests

Mathematics • New York City • Distributed Systems • Algorithms • Etsy • Palo Alto • Natural Language Processing • Statistics (Academic Discipline) • San Francisco • Berkeley • Apache Hadoop • Avro (Software) • Vegetarian Food • Startups • Search • Software Engineering • Machine Learning • University of California • Bayesian Inference

Industries

Computer Software

Resumes

Resumes

Aaron Beppu Photo 1

Principal Software Engineer

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Location:
P/O Box 190965, San Francisco, CA
Industry:
Computer Software
Work:
Sift Science
Principal Software Engineer
Prismatic Feb 2013 - Jul 2013
Software Engineer
Etsy Jan 2011 - Jan 2013
Software Engineer
A9.Com Jun 2008 - Dec 2010
Software Development Engineer
Education:
University of California, Berkeley 2005 - 2008
Bachelors, Bachelor of Arts, Cognitive Science Woodinville High School
Skills:
Hadoop
Big Data
Data Mining
Software Development
Information Retrieval
Search
Data Visualization
Jvm Languages
Hbase
Funnel Analysis
Amazon Web Services
Scalability
Mapreduce
Scala
Machine Learning
Software As A Service
Interests:
Mathematics
New York City
Distributed Systems
Algorithms
Etsy
Palo Alto
Natural Language Processing
Statistics (Academic Discipline)
San Francisco
Berkeley
Apache Hadoop
Avro (Software)
Vegetarian Food
Startups
Search
Software Engineering
Machine Learning
University of California
Bayesian Inference
Languages:
English

Publications

Us Patents

Systems And Methods For Calibrating A Machine Learning Model

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US Patent:
20190019109, Jan 17, 2019
Filed:
Mar 30, 2018
Appl. No.:
15/941175
Inventors:
- San Francisco CA, US
Aaron Beppu - San Francisco CA, US
Jacob Burnim - San Francisco CA, US
Alex Paino - San Francisco CA, US
International Classification:
G06N 99/00
G06F 21/55
G06N 7/00
Abstract:
Systems and methods include: collecting digital threat scores of an incumbent digital threat machine learning model; identifying incumbent and successor digital threat score distributions; identifying quantiles data of the incumbent digital threat score distribution; collecting digital threat scores of a successor digital threat machine learning model; calibrating the digital threat scores of the successor digital threat score distribution based on the quantiles data of the incumbent digital threat score distribution and the incumbent digital threat score distribution; and in response to remapping the digital threat scores of the successor digital threat score distribution, publishing the successor digital scores in lieu of the incumbent digital threat scores based on requests for digital threat scores.
Control profile
Aaron G Beppu from San Francisco, CA, age ~37 Get Report