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Swetha Krishnakumar Phones & Addresses

  • Los Angeles, CA
  • San Jose, CA
  • New York, NY
  • Marietta, GA
  • Hockessin, DE

Work

Company: Responsys Apr 2017 to May 2019 Position: Software developer 2

Education

Degree: Masters School / High School: Uc San Diego 2015 to 2017 Specialities: Computer Engineering, Computer Science

Skills

Python • C • C++ • Embedded Systems • Databases • Matlab • Data Analytics • Operating Systems • Algorithms • Teamwork • Teaching • Entrepreneurship • Html5 • Perl • Team Leadership • Sql • Relational Databases • Java • Mysql • Pspice • Hmi Design • Autosar • Perl Automation • Xml Databases • Xquery • Probabilistic Models • Postgresql • Linux • Microsoft Office • Programming • Html • Mongodb • Splunk • Kubernetes • Elk • Docker • Elasticsearch

Languages

Tamil • English

Interests

Science and Technology • Education • Arts and Culture • Children

Industries

Internet

Resumes

Resumes

Swetha Krishnakumar Photo 1

Software Engineer

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Location:
San Diego, CA
Industry:
Internet
Work:
Responsys Apr 2017 - May 2019
Software Developer 2

Google Apr 2017 - May 2019
Software Engineer

Cisco Jun 2016 - Sep 2016
Software Engineering Intern

University of California, San Diego Mar 2016 - Jun 2016
Graduate Teaching Assistant

University of California, San Diego Sep 2015 - Mar 2016
Teaching Assistant
Education:
Uc San Diego 2015 - 2017
Masters, Computer Engineering, Computer Science
College of Engineering, Guindy 2009 - 2013
Bachelor of Engineering, Bachelors, Engineering, Electronics Engineering
Prince Matriculation Higher Secondary School 1995 - 2009
Indian Institute of Technology, Bombay
Prince Matriculation Higher Secondary School, Nanganallur
University of California
Skills:
Python
C
C++
Embedded Systems
Databases
Matlab
Data Analytics
Operating Systems
Algorithms
Teamwork
Teaching
Entrepreneurship
Html5
Perl
Team Leadership
Sql
Relational Databases
Java
Mysql
Pspice
Hmi Design
Autosar
Perl Automation
Xml Databases
Xquery
Probabilistic Models
Postgresql
Linux
Microsoft Office
Programming
Html
Mongodb
Splunk
Kubernetes
Elk
Docker
Elasticsearch
Interests:
Science and Technology
Education
Arts and Culture
Children
Languages:
Tamil
English

Publications

Us Patents

Systems And Methods For Optimizing Machine Learning Models By Summarizing List Characteristics Based On Multi-Dimensional Feature Vectors

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US Patent:
20210035025, Feb 4, 2021
Filed:
Jul 29, 2019
Appl. No.:
16/524440
Inventors:
- Redwood Shores CA, US
Swetha Krishnakumar - San Carlos CA, US
Assignee:
Oracle International Corporation - Redwood Shores CA
International Classification:
G06N 20/20
G06F 17/18
G06F 17/16
Abstract:
Techniques for summarizing lists for machine learning operations are disclosed. In some embodiments, a machine learning system generates feature vectors for a set of items based on varying values among a set of feature attributes. The system further generates, based on the feature vectors a set of clusters and generates a summary vector for a list of items as a function of the distribution of the items within the set of clusters, where the summary vector has a length equal to how many clusters are in the set of clusters. Summary vectors may be generated for a plurality of examples within a training dataset. The system may use the summary vectors to train a machine learning model to estimate unknown labels for new examples.
Swetha Krishnakumar from Los Angeles, CA, age ~36 Get Report