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Aman Dhesi Phones & Addresses

  • San Francisco, CA
  • Menlo Park, CA
  • New York, NY
  • Princeton, NJ

Resumes

Resumes

Aman Dhesi Photo 1

Angel Investor

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Location:
608 Noe St, San Francisco, CA 94114
Industry:
Internet
Work:
Myself
Angel Investor

Square Sep 2017 - May 2018
Product Manager, Square Capital

Square Sep 2017 - May 2018
Data Scientist

Various Early/Mid Stage Companies Sep 2017 - May 2018
Growth Advisor

Facebook Aug 2015 - Oct 2016
Growth Product Manager
Education:
Princeton University 2012 - 2013
Doctorates, Doctor of Philosophy
Princeton University 2010 - 2012
Masters, Computer Science
Indian Institute of Technology, Kanpur 2006 - 2010
Bachelors, Electrical Engineering
Interests:
Facebook
Psychology
Diablo (Series)
Capitalism
Entrepreneurship
Computer Science
Education
Princeton University
Humor
Microsoft
Fitness
Martial Arts
Self Improvement
Terrorism
Startups
Google
Dating and Relationships
Philosophy
Languages:
Hindi
French
Aman Dhesi Photo 2

Aman Dhesi

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Aman Dhesi Photo 3

Aman Dhesi

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Aman Dhesi Photo 4

Aman Dhesi

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Publications

Us Patents

Techniques For Device Configuration Of Prospective Contacts Using Messaging History Information

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US Patent:
20180113913, Apr 26, 2018
Filed:
Oct 24, 2016
Appl. No.:
15/332710
Inventors:
- Menlo Park CA, US
Louis Benoit Philippe Boval - San Francisco CA, US
Aman Dhesi - San Francisco CA, US
International Classification:
G06F 17/30
H04L 12/58
G06N 5/02
Abstract:
Techniques for device configuration of prospective contacts using messaging history information are described. In one embodiment, an apparatus may comprise a client front-end component operative to receive a client inbox request for a user account from a client device, the user account for a communication system; and send an ordered prospective contact list to the client device in response to the client inbox request; a prospective contact list component operative to generate a prospective contact list for a user account, wherein generating the prospective contact list for the user account excludes any existing contacts from an existing contact list for the user account; a predicted interest component operative to determine a predicted communication interest for each prospective contact on the prospective contact list; and a contact ranking component operative to determine a ranking weight for each prospective contact on the prospective contact list. Other embodiments are described and claimed.

Methods And Systems For Making Recommendations Based On Relationships

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US Patent:
20170344553, Nov 30, 2017
Filed:
May 27, 2016
Appl. No.:
15/167959
Inventors:
- Menlo Park CA, US
Zeev Rosenstein - Menlo Park CA, US
Han Gyul Lee - Menlo Park CA, US
Aman Dhesi - San Francisco CA, US
Assignee:
Facebook, Inc. - Menlo Park CA
International Classification:
G06F 17/30
G06Q 30/02
G06Q 50/00
Abstract:
Exemplary embodiments relate to techniques for determining social networking or messaging user affinity and engagement coefficients (e.g., a measure of the connectedness between two people in a network). The described techniques are particularly well-suited to cases in which only limited information is available, such as when a new user joins a network and only the user's contacts list is available. The available information may be used to determine a group of existing users to which the new user is connected. Some embodiments relate to calculating scores among these existing users in order to infer an affinity for the new user to the existing users. Other embodiments involve calculating bilateral scores that reflect a degree of mutual affinity between two users.

Methods And Systems For Assigning Affinity Scores To Contacts

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US Patent:
20170344610, Nov 30, 2017
Filed:
May 27, 2016
Appl. No.:
15/167958
Inventors:
- Menlo Park CA, US
Zeev Rosenstein - Menlo Park CA, US
Han Gyul Lee - Menlo Park CA, US
Aman Dhesi - San Francisco CA, US
Assignee:
Facebook, Inc. - Menlo Park CA
International Classification:
G06F 17/30
Abstract:
Exemplary embodiments relate to techniques for determining social networking or messaging user affinity and engagement coefficients (e.g., a measure of the connectedness between two people in a network). The described techniques are particularly well-suited to cases in which only limited information is available, such as when a new user joins a network and only the user's contacts list is available. The available information may be used to determine a group of existing users to which the new user is connected. Some embodiments relate to calculating scores among these existing users in order to infer an affinity for the new user to the existing users. Other embodiments involve calculating bilateral scores that reflect a degree of mutual affinity between two users.
Aman Dhesi from San Francisco, CA, age ~36 Get Report