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Christiaan Prins Phones & Addresses

  • 817 E 24Th St, Oakland, CA 94606
  • San Francisco, CA
  • San Jose, CA
  • Campbell, CA
  • Redwood City, CA

Work

Company: Microsoft Dec 2006 Address: United States Position: Sr. program manager

Education

Degree: Master of Science, Masters School / High School: University of Twente Sep 1993 to Oct 2000 Specialities: Electrical Engineering, Telecommunications

Skills

Embedded Software • Drm • Product Management • Conditional Access • Program Management • Iptv • Project Management • Streaming Media • Wireless Networking • Agile Methodologies • Mobile Devices • Testing • Software Development • Scrum • System Architecture • Software Design • Mobile Applications • Wireless • Integration • Cloud Computing • Agile Project Management • Architectures • Machine Learning • Product Development • Software Project Management • Android

Languages

Dutch • English • German

Awards

Leader bench program • Early career starter / high potential

Ranks

Certificate: Certified Scrum Product Owner (Cspo)

Industries

Internet

Resumes

Resumes

Christiaan Prins Photo 1

Senior Product Manager

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Location:
San Francisco, CA
Industry:
Internet
Work:
Microsoft - United States since Dec 2006
Sr. Program Manager
Education:
University of Twente Sep 1993 - Oct 2000
Master of Science, Masters, Electrical Engineering, Telecommunications
Skills:
Embedded Software
Drm
Product Management
Conditional Access
Program Management
Iptv
Project Management
Streaming Media
Wireless Networking
Agile Methodologies
Mobile Devices
Testing
Software Development
Scrum
System Architecture
Software Design
Mobile Applications
Wireless
Integration
Cloud Computing
Agile Project Management
Architectures
Machine Learning
Product Development
Software Project Management
Android
Languages:
Dutch
English
German
Awards:
Leader Bench Program
High Potential Program of Microsoft
Early Career Starter / High Potential
High Potential program of Philips Electronics
Certifications:
Certified Scrum Product Owner (Cspo)
Scrum Alliance

Publications

Us Patents

System And Method For Automatic Cloud-Based Full-Data Backup And Restore On Mobile Devices

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US Patent:
20200053152, Feb 13, 2020
Filed:
Oct 21, 2019
Appl. No.:
16/659530
Inventors:
- Mountain View CA, US
Christiaan Prins - Oakland CA, US
Ramesh Nagarajan - Balmain, AU
Ushasree Kode - Fremont CA, US
Christopher Tate - Berkeley CA, US
Di Wu - Sunnyvale CA, US
Reuben Kan - Carlingford, AU
John Herndon - Boulder CO, US
International Classification:
H04L 29/08
H04L 29/06
G06F 11/14
Abstract:
A method for providing restoration of third-party application data to a client device is described herein. The method includes determining whether to provide, to the client device, data associated with a third-party application to be restored at the client device. The data associated with the third-party application includes binary data stored in a first cloud storage location having a storage address, and metadata stored in a second cloud storage location. The method also includes using the metadata to determine the storage address of the first cloud storage location. The method further includes providing the binary data from the first cloud storage location to the client device for restoring the third-party application data.

Aggregation Of Asynchronous Trust Outcomes In A Mobile Device

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US Patent:
20190068647, Feb 28, 2019
Filed:
Oct 24, 2018
Appl. No.:
16/170026
Inventors:
- Mountain View CA, US
Maya Ben Ari - Palo Alto CA, US
Tanton Holt Gibbs - Redmond WA, US
Ido Ofir - Los Altos CA, US
Jay Pierre Civelli - Sunnyvale CA, US
Brandon Keely - San Francisco CA, US
Christiaan Prins - San Francisco CA, US
Zheng Sun - Mountain View CA, US
Ning Zheng - Mountain View CA, US
James Brooks Miller - Sunnyvale CA, US
Jennifer Seth - San Francisco CA, US
Rongjing Xiang - Mountain View CA, US
Hugh Brendan McMahan - Seattle WA, US
International Classification:
H04L 29/06
H04W 12/06
H04W 88/02
Abstract:
Systems and techniques are provided for aggregation of asynchronous trust outcomes in a mobile device. Trust levels may be determined from the signals. Each trust level may be determined independently of any other trust level. Each trust level may be determined based on applying to the signals heuristics, mathematical optimization, decisions trees, machine learning systems, or artificial intelligence systems. An aggregated trust outcome may be determined by aggregating the trust levels. Aggregating the trust levels may include applying heuristics, mathematical optimization, decisions trees, machine learning systems, or artificial intelligence systems to the trust levels, and wherein the aggregated trust outcome; and sending the aggregated trust outcome to be implemented by the enabling, disabling, or relaxing of at least one security measure based on the aggregated trust outcome.

System And Method For Automatic Cloud-Based Full-Data Backup And Restore On Mobile Devices

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US Patent:
20160352827, Dec 1, 2016
Filed:
May 17, 2016
Appl. No.:
15/156539
Inventors:
- Mountain View CA, US
Christiaan Prins - Oakland CA, US
Ramesh Nagarajan - Balmain, AU
Ushasree Kode - Fremont CA, US
Christopher Tate - Berkeley CA, US
Di Wu - Sunnyvale CA, US
Reuben Kan - Carlingford, AU
John Herndon - Boulder CO, US
International Classification:
H04L 29/08
H04L 29/06
Abstract:
A method for storing third-party application data to cloud storage is described herein. The method includes determining to upload data associated with a third-party application stored on a client device to a cloud storage server. The data associated with the third-party application includes both binary data and metadata. The method further includes storing the binary data of the third-party application at a first cloud storage location. The first cloud storage location has a storage address and the metadata is updated to include the storage address. The method includes storing the updated metadata to a second cloud storage location different from the first cloud storage location.

Aggregation Of Asynchronous Trust Outcomes In A Mobile Device

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US Patent:
20150373050, Dec 24, 2015
Filed:
Jun 23, 2014
Appl. No.:
14/311376
Inventors:
- Mountain View CA, US
Maya Ben Ari - Palo Alto CA, US
Tanton Holt Gibbs - Redmond WA, US
Ido Ofir - Los Altos CA, US
Jay Pierre Civelli - Sunnyvale CA, US
Brandon Keely - San Francisco CA, US
Christiaan Prins - San Francisco CA, US
Zheng Sun - Mountain View CA, US
Ning Zheng - Mountain View CA, US
James Brooks Miller - Sunnyvale CA, US
Jennifer Fernquist - San Francisco CA, US
Rongjing Xiang - Mountain View CA, US
Hugh Brendan McMahan - Seattle WA, US
International Classification:
H04L 29/06
Abstract:
Systems and techniques are provided for aggregation of asynchronous trust outcomes in a mobile device. Trust levels may be determined from the signals. Each trust level may be determined independently of any other trust level. Each trust level may be determined based on applying to the signals heuristics, mathematical optimization, decisions trees, machine learning systems, or artificial intelligence systems. An aggregated trust outcome may be determined by aggregating the trust levels. Aggregating the trust levels may include applying heuristics, mathematical optimization, decisions trees, machine learning systems, or artificial intelligence systems to the trust levels, and wherein the aggregated trust outcome; and sending the aggregated trust outcome to be implemented by the enabling, disabling, or relaxing of at least one security measure based on the aggregated trust outcome.
Christiaan A Prins from Oakland, CA, age ~49 Get Report