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Amey Ruikar Phones & Addresses

  • Sunnyvale, CA
  • San Francisco, CA

Work

Company: Facebook Jul 2019 Position: Data engineer

Education

Degree: Masters School / High School: University of Southern California 2015 to 2017 Specialities: Computer Science

Skills

Mysql • Linux • Gephi • C • Jenkins • Cascading Style Sheets • Linux Kernel • Html • Data Structures • Programming • Java • Android • Microsoft Excel • Php • Javascript • C++ • Netlogo • Css • Sql • Python • Html5

Languages

English • French • Marathi • Hindi

Ranks

Certificate: Software Defined Networking

Interests

Animal Welfare • Social Services • Children • Education

Industries

Computer Software

Resumes

Resumes

Amey Ruikar Photo 1

Data Engineer

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Location:
San Francisco, CA
Industry:
Computer Software
Work:
Facebook
Data Engineer

Salesforce Jan 2017 - Sep 2017
Associate Software Engineer

Salesforce May 2016 - Aug 2016
Software Engineer Intern

University of Southern California Jan 2016 - May 2016
Course Grader For Csci 585

Idataworks Jun 2014 - Aug 2014
Summer Intern
Education:
University of Southern California 2015 - 2017
Masters, Computer Science
Pune Institute of Computer Technology 2011 - 2015
Bachelors, Computer Engineering
Skills:
Mysql
Linux
Gephi
C
Jenkins
Cascading Style Sheets
Linux Kernel
Html
Data Structures
Programming
Java
Android
Microsoft Excel
Php
Javascript
C++
Netlogo
Css
Sql
Python
Html5
Interests:
Animal Welfare
Social Services
Children
Education
Languages:
English
French
Marathi
Hindi
Certifications:
Software Defined Networking
License E4F14F365E8F4Cf7A35F41C596C4Ed...
Using Python To Access Web Data
Using Databases With Python
Software Defined Networking (Link)

Publications

Us Patents

Anomaly Detection Mechanism

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US Patent:
20200242091, Jul 30, 2020
Filed:
Jan 30, 2019
Appl. No.:
16/261741
Inventors:
- San Francisco CA, US
Amey Ruikar - San Francisco CA, US
International Classification:
G06F 16/215
G06F 16/25
Abstract:
Techniques and structures to facilitate anomaly detection, including receiving performance metric data at a database system having a plurality of data point values, processing the plurality of data point values via an optimized Extreme Studentized Deviate (ESD) test to detect one or more anomalous data point values within the plurality of data point values, including storing a first set of values representing the largest values of the plurality of data point values and a second set of values representing the smallest values of the plurality of data point values, receiving a first of the plurality of data point values, determining whether the first data point value is to be included in the first set of values or the second set of values and determining that the first data point value is not an anomalous data point value upon a determination that the first data point value is not to be inserted into the first set of values or the second set of values and generating an incident alert upon a detection of one or more anomalous data point values within the plurality of data point values.

Techniques And Architectures For Proactively Providing Offline Maps

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US Patent:
20190277651, Sep 12, 2019
Filed:
Mar 8, 2018
Appl. No.:
15/915781
Inventors:
- San Francisco CA, US
Amey Ruikar - San Francisco CA, US
International Classification:
G01C 21/36
G01C 21/28
Abstract:
Providing offline map functionality. A geographic route from a geographic starting location to a geographic destination location is determined. A determination of whether wireless data coverage is unavailable for at least a portion of the geographic route is made. At least one offline map segment for the portion of the geographic route for which wireless data coverage is unavailable is downloaded to a mobile electronic device prior to the mobile electronic device arriving in the portion of the geographic route for which wireless data coverage is unavailable.
Amey Suhas Ruikar from Sunnyvale, CA Get Report