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Justin S Mcleod, 41801 E Applewood Ave, Littleton, CO 80121

Justin Mcleod Phones & Addresses

Centennial, CO   

Washington, DC   

Highlands Ranch, CO   

Fredericksburg, VA   

Austin, TX   

Fort Worth, TX   

Weatherford, TX   

Work

Company: United states marine corps - San Diego, CA Mar 2013 Position: Combat marksmanship trainer/security specialist

Education

School / High School: Gulf High School New Port Richey- New Port Richey, FL 2000 Specialities: High School Diploma

Ranks

Licence: Virginia - Authorized to practice law Date: 2010

Mentions for Justin S Mcleod

Career records & work history

Lawyers & Attorneys

Justin Mcleod Photo 1

Justin Scott McLeod - Lawyer

Licenses:
Virginia - Authorized to practice law 2010
Justin Mcleod Photo 2

Justin McLeod, Fredericksburg VA - Lawyer

Office:
910 Princess Anne St., Fredericksburg, VA
ISLN:
921770952
University:
Unlisted school, B.A.
Law School:
University of the District of Columbia, J.D.
Justin Mcleod Photo 3

Justin Mcleod - Lawyer

Justin Mcleod resumes & CV records

Resumes

Justin Mcleod Photo 46

Justin Mcleod - Reston, VA

Work:
United States Marine Corps - San Diego, CA Mar 2013 to Sep 2014
Combat Marksmanship Trainer/Security Specialist
United States Marine Corps - Camp Pendleton, CA Jun 2011 to Mar 2013
Advisor
United States Marine Corps - Camp Pendleton, CA Jun 2010 to Jun 2011
Team Leader
United States Marine Corps - Quantico, VA Mar 2008 to Jun 2010
Combat Instructor
United States Marine Corps, Camp Lejuene Mar 2005 to Mar 2008
Rifleman
United States Marine Corps - Parris Island, SC Aug 2004 to Mar 2005
Recruit/Student
Education:
Gulf High School New Port Richey - New Port Richey, FL 2000 to 2004
High School Diploma

Publications & IP owners

Us Patents

Recommendation And Matching Method And Systems

US Patent:
2013006, Mar 14, 2013
Filed:
Sep 11, 2012
Appl. No.:
13/609395
Inventors:
Justin McLeod - Washington DC, US
Assignee:
CLEOD9, INC. - Washington DC
International Classification:
G06F 15/16
US Classification:
709204
Abstract:
The present invention includes methods and systems for matching people. Current methods of and systems for matching people fail to use the best source for gathering information about a person: others who know that person. The present invention uses crowd-sourced tagging to determine attributes of the population of potential recommendations. The invention can also determine a user's preferences either implicitly, by leveraging the user's ratings of others and the crowd-sourced tags to determine the most important attributes to the user, or explicitly, by allowing a user to specify the most important attributes of people.

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