Mark J Rosenstein, Age 69Westminster, CO

Mark Rosenstein Phones & Addresses

Westminster, CO

1145 Doveplum St, Hollywood, FL 33019 (954) 923-8410 (954) 929-7407 (954) 929-7780

3504 Northridge Dr, Pikesville, MD 21208 (410) 602-1001 (410) 653-6501

Saint Petersburg, FL

Boca Raton, FL

1145 Doveplum St, Hollywood, FL 33019 (954) 270-8476

Work

Company: Bridgeport capital svc Address: 5541 N University Dr # 101, Pompano Beach, FL 33067 Phones: (954) 345-5797 Position: Owner Industries: Short-Term Business Credit Institutions, Except Agricultural

Emails

Mentions for Mark J Rosenstein

Career records & work history

Lawyers & Attorneys

Mark Rosenstein Photo 1

Mark Rosenstein - Lawyer

Office:
Ledgewood, a Professional Corporation
Specialties:
Business Law, Corporate Law, Securities, Securities & Investment Fraud, General Practice
ISLN:
915340314
Admitted:
2000
University:
George Washington University, B.A., 1997
Law School:
George Washington University, J.D., 2000

Mark Rosenstein resumes & CV records

Resumes

Mark Rosenstein Photo 21

Mark Rosenstein

Position:
Service Department Mgr. at Patterson, Flynn & Martin
Location:
United States
Work:
Patterson, Flynn & Martin since 2004
Service Department Mgr.
Mark Rosenstein Photo 22

Accounting Professional

Location:
Greater Denver Area
Industry:
Accounting
Work:
Frank Paxton Lumber Company Dec 2004 - Jul 2008
Regional Commercial Driver - Customer Support
Hatcher Construction Services, Inc. Jul 2001 - Feb 2005
Corporate Accountant
Ventura County Sheriff's Department 1989 - 1996
Government Senior Accountant
Public Accounting Experience 1980 - 1989
Entry Level Staff to Senior Accountant
Education:
California State University-Northridge 1978 - 1980
Bachelor of Science, Business Administration - Accounting
Pierce College 1976 - 1978
N/A, Business Administration - Accounting
Mark Rosenstein Photo 23

Ltc At 36 Sig Bn

Position:
LTC at 36 Sig Bn
Location:
US Military Posts in the Pacific
Industry:
Military
Work:
36 Sig Bn
LTC
Mark Rosenstein Photo 24

Mark Rosenstein

Location:
Greater Denver Area
Industry:
E-Learning

Publications & IP owners

Us Patents

Systems And Methods For Automated Machine Learning Model Training For A Custom Authored Prompt

US Patent:
2019025, Aug 22, 2019
Filed:
Feb 20, 2019
Appl. No.:
16/280984
Inventors:
- Hoboken NJ, US
Lee Becker - Boulder CO, US
Samuel Downs - Bloomington MN, US
Alok Baikadi - Boulder CO, US
William Murray - Fort Collins CO, US
Kyle Habermehl - Niwot CO, US
Peter Foltz - Boulder CO, US
Mark Rosenstein - Boulder CO, US
International Classification:
G06F 17/27
G06N 20/00
Abstract:
Systems and methods for automated custom training of a scoring model are disclosed herein. The method include: receiving a plurality of responses received from a plurality of students in response to providing of a prompt; identifying an evaluation model relevant to the provided prompt, which evaluation model can be a machine learning model trained to output a score relevant to at least portions of a response; generating a training indicator that provides a graphical depiction of the degree to which the identified evaluation model is trained; determining a training status of the model; receiving at least one evaluation input when the model is identified as insufficiently trained; updating training of the evaluation model based on the at least one received evaluation input; and controlling the training indicator to reflect the degree to which the evaluation model is trained subsequent to the updating of the training of the evaluation model.

Systems And Methods For Automated Evaluation Model Customization

US Patent:
2019025, Aug 22, 2019
Filed:
Feb 20, 2019
Appl. No.:
16/280639
Inventors:
- Hoboken NJ, US
Mark Rosenstein - Boulder CO, US
Alok Baikadi - Boulder CO, US
Lee Becker - Boulder CO, US
Stephen Hopkins - Huntington Station NY, US
Jill Budden - Boulder CO, US
Luis M. Oros - Denver CO, US
Kyle Habermehl - Niwot CO, US
Scott Hellman - Dallas TX, US
William Murray - Bloomington MN, US
Andrew Gorman - Bloomington MN, US
International Classification:
G06K 9/62
G06N 20/00
Abstract:
Systems and methods for automated custom training of a scoring model are disclosed herein. The method include: receiving a plurality of responses received from a plurality of students in response to providing of a prompt; identifying an evaluation model relevant to the provided prompt, which evaluation model can be a machine learning model trained to output a score relevant to at least portions of a response; generating a training indicator that provides a graphical depiction of the degree to which the identified evaluation model is trained; determining a training status of the model; receiving at least one evaluation input when the model is identified as insufficiently trained; updating training of the evaluation model based on the at least one received evaluation input; and controlling the training indicator to reflect the degree to which the evaluation model is trained subsequent to the updating of the training of the evaluation model.

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