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Brett M Francis, 56232 Jeter St, Redwood City, CA 94062

Brett Francis Phones & Addresses

232 Jeter St, Redwood City, CA 94062    650-3692329   

Napa, CA   

San Carlos, CA   

Los Angeles, CA   

Cupertino, CA   

Newark, CA   

Hartford, CT   

232 Jeter St, Redwood City, CA 94062    408-4067075   

Work

Company: Connectsolutions, inc Mar 2012 Position: Svp, platform

Education

School / High School: University of Southern California- May, CA May 1992 Specialities: Bachelor of Science in Aerospace Engineering

Skills

Executive Management • Scalability • Engineering • Start-ups • Distributed Systems • Enterprise Architecture • Change Management • SCADA • Engineering Management • Java • Fundraising • Time Series Analysis • Solution Architecture • Application Architecture • Architecture • System Architecture • Transaction Processing • SOX • Renewable Energy • Alternative Energy • Organizational Change • Virtualization • Cloud Computing • Energy • Smart Grid

Emails

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Brett Francis resumes & CV records

Resumes

Brett Francis Photo 44

Engineering Executive And Architect

Location:
San Francisco Bay Area
Industry:
Information Technology and Services
Skills:
Engineering Management, Product Development, SCADA, Scalability, Engineering, Executive Management, Start-ups, Java, Fundraising, Time Series Analysis, Distributed Systems, Solution Architecture, Application Architecture, Architecture, System Architecture, Enterprise Architecture, Transaction Processing, SOX, Renewable Energy, Alternative Energy, Organizational Change, Virtualization, Cloud Computing, Energy, Smart Grid, Change Management, Cross-functional Team Leadership, Solar Energy, Python, Java Enterprise Edition, Management, Leadership, Product Management, SaaS, SOA, Integration, Strategy
Languages:
German
Brett Francis Photo 45

Brett Francis

Location:
United States
Brett Francis Photo 46

Brett Francis - Redwood City, CA

Work:
ConnectSolutions, Inc Mar 2012 to 2000
SVP, Platform
Power-One, Inc Oct 2010 to Feb 2012
VP - Engineering, Principal Software Architect
Fat Spaniel Technologies, Inc Oct 2006 to Oct 2010
VP - Engineering, Principal Software Architect
Education:
University of Southern California - May, CA May 1992
Bachelor of Science in Aerospace Engineering
Skills:
Executive Management, Scalability, Engineering, Start-ups, Distributed Systems, Enterprise Architecture, Change Management, SCADA, Engineering Management, Java, Fundraising, Time Series Analysis, Solution Architecture, Application Architecture, Architecture, System Architecture, Transaction Processing, SOX, Renewable Energy, Alternative Energy, Organizational Change, Virtualization, Cloud Computing, Energy, Smart Grid

Publications & IP owners

Us Patents

Systems And Methods For Distributed Asset Management Having Tagging Capabilities

US Patent:
2010001, Jan 21, 2010
Filed:
Jul 15, 2008
Appl. No.:
12/173727
Inventors:
Brett M. Francis - Redwood City CA, US
Clifford N. Baumann - San Jose CA, US
Robert G. Fox - Berkeley CA, US
Assignee:
FAT SPANIEL TECHNOLOGIES, INC. - San Jose CA
International Classification:
G06F 17/30
G06Q 10/00
US Classification:
707100, 705 1, 707E17009
Abstract:
Distributed asset management may be achieved as described herein by representing within a computer database system a collection of distributed assets, and logging within the computer database system time-series data sent from different ones of the distributed assets. Input from authorized users is accepted and stored in the form of tags, each tag being associated with an asset or group of assets. Access is provided to the time-series data or data derived therefrom, and to the tags, by the authorized users. By providing tagging capabilities, diverse requirements of different audiences are supported, and a system can be created wherein the different needs and interests of the audiences are satisfied in such a way as to produce a multiplying beneficial effect. At the same time, complexities are minimized that would otherwise be introduced in order support different taxonomies within a changing heterogeneous environment. Tagging may include such examples as tagging of assets, of time-series data generated by assets, and of pre-defined envelopes of time-series data.

Expiration Informer

US Patent:
2002007, Jun 20, 2002
Filed:
Dec 19, 2000
Appl. No.:
09/741641
Inventors:
Cliff Baumann - San Jose CA, US
Brett Francis - Redwood City CA, US
International Classification:
G06F012/00
US Classification:
707/206000
Abstract:
The invention uses expiration notification events and object references to indicate when a software object has expired. Expiration notification events are occurrences that indicate when corresponding object references and dependent references should be removed. Object references and dependent references are references to objects within the computer memory. Using the object management methods of the Expiration Informer, the object references are stored in a table according to the objects' expiration time. Upon expiration, the managed object is removed from the table and stored in an expiration event. The expiration event is sent to the requester at which time the Expiration Informer has removed any reference to the object. The invention is capable of managing objects is a distributed computing environment. The invention executes these capabilities in an extremely efficient manner adding minimal CPU overhead when managing thousands of time-based objects.

In-Vehicle Distributed Computing Environment

US Patent:
2022032, Oct 6, 2022
Filed:
Mar 31, 2021
Appl. No.:
17/219711
Inventors:
- Seattle WA, US
Brett Francis - Redwood City CA, US
David Joseph Mifsud - Lake Stevens WA, US
Michael Garcia - Springfield MO, US
Assignee:
Amazon Technologies, Inc. - Seattle WA
International Classification:
H04L 29/08
B60R 16/023
Abstract:
A system comprising one or more computers implements a synthetic sensor service configured to deploy synthetic sensors to in-vehicle computing devices implementing an in-vehicle distributed computing environment. A synthetic sensor may be placed monolithically at a single computing device (e.g. ECU) in the vehicle, or may be modularly placed on multiple computing devices (e.g. multiple ECUs) of the vehicle that each have resources or inputs that the synthetic sensor requires. The modular components of the synthetic sensor may execute in a runtime environment of the in-vehicle distributed computing environment, such that the modular components function as a unified synthetic sensor even though they are placed on different computing devices of the vehicle (e.g. different ECUs).

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