Mark S Demichele, Age 54450 Dunnington Dr, Ann Arbor, MI 48103

Mark Demichele Phones & Addresses

450 Dunnington Dr, Ann Arbor, MI 48103

9439 Hilldale Dr, Dallas, TX 75231 (214) 553-9207

7615 Dallas Dr, Austin, TX 78729 (512) 401-8850 (512) 401-9721

Alexandria, VA

Bellaire, OH

Saint Clairsville, OH

Mentions for Mark S Demichele

Mark Demichele resumes & CV records

Resumes

Mark Demichele Photo 20

Software Engineer, Development Operations

Location:
2711 north Haskell Ave, Dallas, TX 75246
Industry:
Computer Software
Work:
Zix Corporation
Software Engineer, Development Operations
Unitedhealth Group Aug 1, 2004 - Aug 1, 2008
Technical Architect
Life Systems, Inc. Aug 1, 2002 - Jul 1, 2004
Software Engineer
Evoke Software Corp 2000 - 2002
Software Engineer
Dcs Corp Aug 1, 1997 - Aug 1, 2000
System and Software Engineer
Education:
George Mason University 1997 - 1999
Masters
Case Western Reserve University 1992 - 1993
Bachelors, Bachelor of Science, Computer Engineering
Wheeling University 1988 - 1991
Bachelors, Bachelor of Science, Applied Science
Skills:
Agile Methodologies, Scrum, Integration, Software Development, Web Services, .Net, Test Driven Development, Agile Project Management, Tomcat, Eclipse, Soa, Java Enterprise Edition, Requirements Analysis, Sql, Sdlc, Xml, Object Oriented Design, Continuous Integration, Java, .Net Framework, Service Oriented Architecture
Certifications:
Saltstack Certified Engineer
Mark Demichele Photo 21

Mark Demichele

Publications & IP owners

Us Patents

Secure Message Forwarding With Sender Controlled Decryption

US Patent:
2014006, Mar 6, 2014
Filed:
Sep 6, 2012
Appl. No.:
13/605061
Inventors:
David Joseph Robertson - Richardson TX, US
John French Kalan - Dallas TX, US
Mark Stephen DeMichele - Dallas TX, US
Bryan Adam Joyner - Richardson TX, US
Charles Anthony Rego - Dallas TX, US
Caleb Rhoads Spring - Dallas TX, US
Assignee:
ZIXCORP SYSTEMS, INC., - DALLAS TX
International Classification:
H04L 9/30
US Classification:
713168
Abstract:
Methods, apparatuses, and computer program products are provided for facilitating the secure transmission and storage of data. In this regard, a method is provided that comprises causing data encrypted by a sender system to be received at a service provider system; causing the data as encrypted by the sender system to be stored at the service provider system; receiving a request for the data from a recipient system; determining the recipient system is authorized to receive the data; and causing the data as encrypted to be transmitted to the sender system.

Machine Learning With Attribute Feedback Based On Express Indicators

US Patent:
2022040, Dec 22, 2022
Filed:
Aug 23, 2022
Appl. No.:
17/894050
Inventors:
- Dallas TX, US
Michael Don Wigley - Dallas TX, US
Mark Stephen DeMichele - Ann Arbor MI, US
International Classification:
G06N 20/00
G06F 40/30
G06F 40/279
Abstract:
In some embodiments, a method comprises receiving an electronic message. In response to determining that the electronic message includes an express indication from a user that a classification applies or does not apply, the method comprises identifying message attributes of the electronic message that correspond to policy attributes of a machine learning policy and determining values of the policy attributes based on the identified message attributes. The method additionally comprises providing information to a machine learning trainer adapted to train the machine learning policy based on the information. The information comprises the values of the policy attributes and information indicating the classification that applies or does not apply to the electronic message, where such information is based on the express indication that the user included in the electronic message.

Creating A Machine Learning Policy Based On Express Indicators

US Patent:
2022023, Jul 28, 2022
Filed:
Apr 14, 2022
Appl. No.:
17/720737
Inventors:
- Dallas TX, US
Mark Stephen DeMichele - Ann Arbor MI, US
International Classification:
G06N 20/00
G06F 21/60
Abstract:
According to some embodiments, a method performed by a classification scanner comprises receiving an electronic message and determining a classification that applies to the electronic message. The classification is determined based on an express indication from a user. The method further comprises providing a machine learning trainer with the electronic message and an identification of the classification that applies to the electronic message. The machine learning trainer is adapted to determine a machine learning policy that associates attributes of the electronic message with the classification.

Machine Learning With Attribute Feedback Based On Express Indicators

US Patent:
2020036, Nov 19, 2020
Filed:
May 13, 2019
Appl. No.:
16/410412
Inventors:
- Dallas TX, US
Michael Don Wigley - Dallas TX, US
Mark Stephen DeMichele - Ann Arbor MI, US
International Classification:
G06N 20/00
G06F 17/27
Abstract:
In some embodiments, a method comprises receiving an electronic message. In response to determining that the electronic message includes an express indication from a user that a classification applies or does not apply, the method comprises identifying message attributes of the electronic message that correspond to policy attributes of a machine learning policy and determining values of the policy attributes based on the identified message attributes. The method additionally comprises providing information to a machine learning trainer adapted to train the machine learning policy based on the information. The information comprises the values of the policy attributes and information indicating the classification that applies or does not apply to the electronic message, where such information is based on the express indication that the user included in the electronic message.

Creating A Machine Learning Policy Based On Express Indicators

US Patent:
2020016, May 21, 2020
Filed:
Nov 19, 2018
Appl. No.:
16/194532
Inventors:
- Dallas TX, US
Mark Stephen DeMichele - Ann Arbor MI, US
International Classification:
G06N 20/00
G06F 21/60
Abstract:
According to some embodiments, a method performed by a classification scanner comprises receiving an electronic message and determining a classification that applies to the electronic message. The classification is determined based on an express indication from a user. The method further comprises providing a machine learning trainer with the electronic message and an identification of the classification that applies to the electronic message. The machine learning trainer is adapted to determine a machine learning policy that associates attributes of the electronic message with the classification.

Delivery Of An Electronic Message Using A Machine Learning Policy

US Patent:
2020016, May 21, 2020
Filed:
Nov 19, 2018
Appl. No.:
16/194609
Inventors:
- Dallas TX, US
Mark Stephen DeMichele - Ann Arbor MI, US
International Classification:
H04L 29/06
G06N 20/00
H04W 4/12
Abstract:
According to some embodiments, a method performed by a classification scanner comprises receiving an electronic message and determining whether the electronic message includes an express indication from the user indicating that a classification applies to the electronic message. In response to determining that the electronic message does not include the express indication that the classification applies to the electronic message, the message further comprises sending the electronic message to a machine learning scanner. The machine learning scanner is adapted to use a machine learning policy to determine whether the classification applies to the electronic message.

NOTICE: You may not use PeopleBackgroundCheck or the information it provides to make decisions about employment, credit, housing or any other purpose that would require Fair Credit Reporting Act (FCRA) compliance. PeopleBackgroundCheck is not a Consumer Reporting Agency (CRA) as defined by the FCRA and does not provide consumer reports.