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Abhishek Bhowmick Phones & Addresses

  • San Francisco, CA
  • San Mateo, CA
  • Mountain View, CA
  • Pittsburgh, PA

Resumes

Resumes

Abhishek Bhowmick Photo 1

Abhishek Bhowmick

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Location:
Pittsburgh, PA
Industry:
Higher Education
Work:
Google Dec 2018 - Nov 2018
Software Engineer

Nest Feb 2016 - Feb 2018
Software Development Engineer

Carnegie Mellon University May 2014 - Dec 2015
Masters Student

Nest May 2015 - Aug 2015
Data Infrastructure Software Engineer, Intern

Carnegie Mellon University Jun 2013 - Dec 2013
Graduate Research Intern
Education:
Carnegie Mellon University 2014 - 2015
Masters, Computer Science
Indian Institute of Technology, Bombay 2009 - 2013
Bachelors, Bachelor of Technology, Electronics Engineering, Electronics
Skills:
Algorithms
Verilog
Python
Machine Learning
Programming
Distributed Systems
Java
Simulations
Scala
Linux
Statistics
Computer Science
Artificial Intelligence
Interests:
Social Advice
Technology
New Technologies
Economics
Stanford University
Books
Business
Food
Mentoring
Manners and Etiquette
Finance
Music
World History
Movies
India
Startups
Philosophy
Software Engineering
Indian Institutes of Technology (Iits)
Open Source Software
Graduate School
Computer Engineering
Hardware Engineering
Languages:
English
Hindi
Bengali
Marathi
Certifications:
Machine Learning
Software Product Management (SpmĀ®) Certificate
Coursera
Abhishek Bhowmick Photo 2

Manager, Ml Privacy, Core Machine

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Location:
San Francisco, CA
Industry:
Computer Software
Work:
Apple
Manager, Ml Privacy, Core Machine Learning

Goldman Sachs 2015 - 2017
Machine Learning Strategist

The University of Texas at Austin 2010 - 2015
Graduate Endowment Fellow

2010 - 2015
Manager, Ml Privacy, Core Machine
Education:
The University of Texas at Austin 2010 - 2015
Doctorates, Doctor of Philosophy, Computer Science
Princeton University 2011 - 2012
Doctorates, Doctor of Philosophy, Computer Science
Indian Institute of Technology, Kanpur 2006 - 2010
Bachelors, Computer Science, Engineering, Computer Science and Engineering
Abhishek Bhowmick Photo 3

Abhishek Bhowmick

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Publications

Us Patents

User Experience Using Privatized Crowdsourced Data

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US Patent:
20180349637, Dec 6, 2018
Filed:
Nov 7, 2017
Appl. No.:
15/805611
Inventors:
- Cupertino CA, US
Conrad Shultz - San Jose CA, US
Steve Falkenburg - Los Altos CA, US
Mateusz Rajca - Menlo Park CA, US
Abhishek Bhowmick - San Francisco CA, US
Andrew H. Vyrros - San Francisco CA, US
Umesh S. Vaishampayan - Santa Clara CA, US
International Classification:
G06F 21/62
G06F 3/0483
Abstract:
Embodiments described herein provide a privacy mechanism to protect user data when transmitting the data to a server that estimates a frequency of such data amongst a set of client devices. One embodiment uses a differential privacy mechanism to enhance a user experience by inferring potential user preferences from analyzing crowdsourced user interaction data. Based on a statistical analysis of user interactions in relation to various features or events, development efforts with respect to application behavior may be refined or enhanced. For example, user interactions in relation to the presentation of content such as content from online sources may be analyzed. Accordingly, presentation settings or preferences may be defined based on the crowdsourced user interaction data.

User Experience Using Privatized Crowdsourced Data

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US Patent:
20180349638, Dec 6, 2018
Filed:
Nov 7, 2017
Appl. No.:
15/805632
Inventors:
- Cupertino CA, US
Christophe Dumez - San Jose CA, US
Abhishek Bhowmick - San Francisco CA, US
Andrew H. Vyrros - San Francisco CA, US
Umesh S. Vaishampayan - Santa Clara CA, US
International Classification:
G06F 21/62
H04L 29/06
G06F 1/28
Abstract:
Embodiments described herein provide a privacy mechanism to protect user data when transmitting the data to a server that estimates a frequency of such data amongst a set of client devices. One embodiment uses a differential privacy mechanism to enhance a user experience by identifying particular websites that exhibit particular characteristics. In one embodiment, websites that are associated with a high resource consumption are identified. High resource consumption can be identified based on threshold of particular resources such as processor, memory, network bandwidth, and power usage.
Abhishek Bhowmick from San Francisco, CA Get Report