Search

Andrew Malta Phones & Addresses

  • San Francisco, CA
  • Burlingame, CA
  • Aurora, CO

Work

Company: Apple Jul 2018 Position: Software engineer

Education

Degree: Bachelors, Bachelor of Science School / High School: Yale University 2014 to 2018 Specialities: Computer Science

Skills

Java • Python • Artificial Intelligence • Git • Data Structures • C++ • Javascript • Web Applications • Google App Engine • Algorithms • Object Oriented Design • Linux • Node.js • Bitcoin • React Js • Computer Science • Machine Learning

Languages

English • Spanish

Industries

Computer Software

Resumes

Resumes

Andrew Malta Photo 1

Software Engineer

View page
Location:
Burlingame, CA
Industry:
Computer Software
Work:
Apple
Software Engineer

University of Massachusetts Amherst Jun 2017 - Aug 2017
Undergraduate Researcher

Numenta May 2016 - Aug 2016
Software Engineering Intern

Blockai May 2015 - Aug 2015
Software Engineering Intern

Momentum Design Lab Jun 2013 - Aug 2013
Software Developer Internship
Education:
Yale University 2014 - 2018
Bachelors, Bachelor of Science, Computer Science
Burlingame High School 2010 - 2014
Stanford University 2012 - 2012
Skills:
Java
Python
Artificial Intelligence
Git
Data Structures
C++
Javascript
Web Applications
Google App Engine
Algorithms
Object Oriented Design
Linux
Node.js
Bitcoin
React Js
Computer Science
Machine Learning
Languages:
English
Spanish

Publications

Us Patents

Announce Notifications

View page
US Patent:
20220366889, Nov 17, 2022
Filed:
Feb 16, 2022
Appl. No.:
17/673492
Inventors:
- Cupertino CA, US
David Matthew FISCHER - San Francisco CA, US
Gagan A. GUPTA - Mountain View CA, US
Zara LALJI - Seattle WA, US
Andrew William MALTA - San Francisco CA, US
Zakrya MANDHRO - Palo Alto CA, US
Alexander Silvio MULLER - Campbell CA, US
Andrea Valentina SIMES - San Francisco CA, US
International Classification:
G10L 13/02
G10L 15/22
G08B 3/10
Abstract:
Systems and processes for operating an intelligent automated assistant are provided. In one example process, a first and second notification are received and, in accordance with determinations that the respective notifications are to be announced to a user, respective first and second spoken outputs are obtained. An announcement schedule is determined based on the respective types of the notifications and the first and second spoken outputs are provided (e.g., audibly announced) according to the announcement schedule.

User Activity Shortcut Suggestions

View page
US Patent:
20200379726, Dec 3, 2020
Filed:
Oct 4, 2019
Appl. No.:
16/592906
Inventors:
- Cupertino CA, US
Andrew William MALTA - San Francisco CA, US
Jay MOON - Palo Alto CA, US
Pallavika RAMASWAMY - Cupertino CA, US
Ari WEINSTEIN - San Francisco CA, US
International Classification:
G06F 3/16
G10L 15/22
G06F 9/451
Abstract:
Systems and processes for accelerating task performance are provided. An example method includes, at an electronic device with a display, displaying a candidate shortcut affordance associated with a user activity, detecting a first set of inputs corresponding to a selection of the candidate shortcut affordance, in response to detecting the first set of inputs, displaying a first set of candidate task affordances, detecting a second set of inputs corresponding to a selection of a candidate task affordance associated with a first task, displaying a second set of candidate task affordances, detecting a third set of inputs corresponding to a selection of a candidate task affordance associated with a second task, and in response to detecting the second set of inputs and the third set of inputs, associating the first task and the second task with a task sequence for a voice shortcut corresponding to the user activity.

User Activity Shortcut Suggestions

View page
US Patent:
20200379727, Dec 3, 2020
Filed:
Apr 6, 2020
Appl. No.:
16/841271
Inventors:
- Cupertino CA, US
Andrew William Malta - San Francisco CA, US
Jay Moon - Palo Alto CA, US
Pallavika Ramaswamy - Cupertino CA, US
Ari Weinstein - San Francisco CA, US
International Classification:
G06F 3/16
G10L 15/22
G06F 9/451
Abstract:
Systems and processes for accelerating task performance are provided. An example method includes, at an electronic device with a display, displaying a candidate shortcut affordance associated with a user activity, detecting a first set of inputs corresponding to a selection of the candidate shortcut affordance, in response to detecting the first set of inputs, displaying a first set of candidate task affordances, detecting a second set of inputs corresponding to a selection of a candidate task affordance associated with a first task, displaying a second set of candidate task affordances, detecting a third set of inputs corresponding to a selection of a candidate task affordance associated with a second task, and in response to detecting the second set of inputs and the third set of inputs, associating the first task and the second task with a task sequence for a voice shortcut corresponding to the user activity.
Andrew W Malta from San Francisco, CA, age ~29 Get Report