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Carlos P Devoto

from Plymouth, MI
Age ~57
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Also known as:
Carlos Pedro Devoto
Phone and address:
14996 Robinwood Dr, Plymouth, MI 48170
(734) 718-7017
Related to:
Thomas Devoto, 29Heather L Devoto, 52Christina Devoto, 42Lynn C Paquette, 84William L Paquette, 86Ricardo A Devoto, 58William Paquette, 82Claudia P Devoto, 55Beth E Niemand, 57
Connected to:
Donald A Devoto, 70James G Devoto, 76Javier Devoto, 41John M Devoto, 59Kathy L Devoto, 66Laurel A Devoto, 39Luis C Devoto, 62Randall B Devoto, 75Ulrike L Devoto, 56David O Devoy, 73

Carlos Devoto Phones & Addresses

  • 14996 Robinwood Dr, Plymouth, MI 48170 (734) 718-7017
  • 777 Harvey St, Plymouth, MI 48170
  • Farmington, MI
  • Wayne, MI
  • 14996 Robinwood Dr, Plymouth, MI 48170

Resumes

Resumes

Carlos Devoto Photo 1

Chief Technology Officer

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Location:
Plymouth, MI
Industry:
Computer Software
Work:
Maddog Technology Apr 2015 - Mar 2016
Technologist and Software Architect
Resolute Building Intelligence Apr 2015 - Mar 2016
Chief Technology Officer
Compuware Mar 1998 - Apr 2015
Senior Software Architect
Education:
University of Michigan
Master of Science, Masters, Computer Science
Skills:
Agile Methodologies
Software Development
Web Services
Java
Scrum
Databases
Software Development Life Cycle
Software As A Service
Cloud Computing
Product Development
Software Architecture
Management
Saas
Start Ups
Big Data Analytics
Leadership
Web Development
Continuous Integration
Software Project Management
Enterprise Software
Carlos Devoto Photo 2

Carlos Devoto

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Location:
Plymouth, MI
Industry:
Information Technology And Services
Work:
Compuware
Senior Software Architect
Skills:
Technology
Services
Information Technology
Software

Publications

Us Patents

Cross-Platform Single Sign-On Data Sharing

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US Patent:
7509672, Mar 24, 2009
Filed:
Apr 1, 2004
Appl. No.:
10/817275
Inventors:
Michael A. Horwitz - Berkley MI, US
Kenneth W. O'Dell - Birmingham MI, US
Dennis J. O'Flynn - Canton MI, US
Carlos Devoto - Plymouth MI, US
Assignee:
Compuware Corporation - Detroit MI
International Classification:
G06F 21/00
US Classification:
726 8
Abstract:
Systems and methods of authentication and data sharing across applications and platforms based on a single authentication are described. The systems and methods allow a user, based on a single log on to an application, to be automatically logged on to other applications and to fetch and store preference, state, and setting data across enterprise computing systems that include multiple computing platforms and applications. A data registry stores authentication and non-authentication data. An interface for automatically executing authentication transactions for the applications and facilitating the share of non-authentication data is also provided. The non-authentication data is user configurable to provide flexible application support across the enterprise, such as through the preservation of state information, preferences, settings, and application data across multiple computers.

System And Method For Configuring Analytic Rules To Equipment Based Upon Building Data

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US Patent:
20210215368, Jul 15, 2021
Filed:
Mar 3, 2021
Appl. No.:
17/191368
Inventors:
- Birmingham MI, US
Carlos Devoto - Plymouth MI, US
Justin Bootcheck - Royal Oak MI, US
Chad Ruch - Royal Oak MI, US
Keith Murphy - Mt. Clemens MI, US
International Classification:
F24F 11/46
F24F 11/64
G05B 15/02
Abstract:
An energy management system is disclosed for optimizing energy usage of HVAC equipment in a building complex. The energy management system is configured to be integrated into an existing Building Automation System (“BAS system”) in order to process the data points in a less time consuming and efficient manner relative to known systems that map one point at a time. The BAS system data points are “point mapped”, i.e., uploaded to a file in the “cloud”, and are updated continuously as a function of time and deposited in a “bucket” in which the data points are unfiltered. These data points can then be filtered by node path and equipment in order to bulk tag equipment and bulk tag points in each of the buildings. These bulk tagged points data points can then be linked to specific rules in an analytical rules library. The system automatically applies predetermined analytical rules to tagged HVAC data points without specific knowledge of the rule by the user. These analytical rules are used to determine energy usage for each type of equipment and are pre-stored in the cloud. By selecting an equipment type, the correct analytical rule is automatically applied in bulk to the selected HVAC equipment type, and a report may be selectively generated for the selected piece(s) of HVAC equipment.

System And Method For Configuring Analytic Rules To Equipment Based Upon Building Data

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US Patent:
20210063039, Mar 4, 2021
Filed:
Sep 3, 2019
Appl. No.:
16/558559
Inventors:
- Birmingham MI, US
Carlos Devoto - Plymouth MI, US
Justin Bootcheck - Royal Oak MI, US
Chad Ruch - Royal Oak MI, US
Keith Murphy - Mt. Clemens MI, US
International Classification:
F24F 11/46
G05B 15/02
F24F 11/64
Abstract:
An energy management system is disclosed for optimizing energy usage of HVAC equipment in a building complex. The energy management system is configured to be integrated into an existing Building Automation System (“BAS system”) in order to process the data points in a less time consuming and efficient manner relative to known systems that map one point at a time. The BAS system data points are “point mapped”, i.e., uploaded to a file in the “cloud”, and are updated continuously as a function of time and deposited in a “bucket” in which the data points are unfiltered. These data points can then be filtered by node path and equipment in order to bulk tag equipment and bulk tag points in each of the buildings. These bulk tagged points data points can then be linked to specific rules in an analytical rules library. The system automatically applies predetermined analytical rules to tagged HVAC data points without specific knowledge of the rule by the user. These analytical rules are used to determine energy usage for each type of equipment and are pre-stored in the cloud. By selecting an equipment type, the correct analytical rule is automatically applied in bulk to the selected HVAC equipment type, and a report may be selectively generated for the selected piece(s) of HVAC equipment.
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Carlos P Devoto from Plymouth, MI, age ~57 Get Report