Anh H Trinh

age ~41

from Allston, MA

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Anh Trinh Phones & Addresses

Allston, MA
San Leandro, CA
Saint Paul, MN

Work

Company:

Harvard graduate school of education - Cambridge, MA
Jun 2012
Position:

Webmaster / e-marketing specialist

Education

School / High School:

Suffolk University - Sawyer School of Management
2009
Specialities:

Bachelor in Double Major: Global Business, Information Systems and Operations Management. Minor: Marketing

Skills

Programming • Acoustic Guitar • Mandarin • SPSS • SAP • Turbo Pascal • Visual Basic • Analysis • Creative Problem Solving • Specialty: • Programming Backgound: Pascal • QBasic • Visual Basic • Database Background: SQL • Microsoft Access • Excellent at Multi-tasking as well as An... • Organizational • Time Management • and Leadership Skills

Ranks

Licence:

Virginia - Authorized to practice law
Date:

2007

Resumes

Anh Trinh Malden, MA

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Work:

Harvard Graduate School of Education
Cambridge, MA
Jun 2012 to Sep 2012
Webmaster / E-Marketing Specialist Arizona Western College

Aug 2008 to May 2009
Computer Lab Assistant

Education:

Suffolk University - Sawyer School of Management
2009 to 2012
Bachelor in Double Major: Global Business, Information Systems and Operations Management. Minor: Marketing Shanghai Normal University
Jan 2011 to Jan 2011
Mandarin Arizona Western College
Jan 2007 to Jan 2009
Associate of Science in Business Administration

Skills:

Programming, Acoustic Guitar, Mandarin, SPSS, SAP, Turbo Pascal, Visual Basic, Analysis, Creative Problem Solving, Specialty:, Programming Backgound: Pascal, QBasic, Visual Basic, Database Background: SQL, Microsoft Access, Excellent at Multi-tasking as well as Analytical, Organizational, Time Management, and Leadership Skills

Name / Title

Company / Classification

Phones & Addresses

Anh Trinh

AC & T Transmission & Auto Repair
Automobile Repairing & Service

1862 Franklin St, Vancouver, BC V5L1P8
6042512886

Anh Trinh

AC & T Transmission & Auto Repair
Automobile Repairing & Service

6042512886

Anh Trinh

Q NAILS SALON BY DON INC

Anh Trinh

TODAY NAILS SALON INC

Us Patents

Multi-Language Support For Interfacing With Distributed Data
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US Patent:

20190228002, Jul 25, 2019
Filed:

Feb 6, 2019
Appl. No.:

16/268503
Inventors:

Christopher T. Nguyen - Los Altos CA, US
Anh H. Trinh - Milpitas CA, US
Bach D. Bui - Milpitas CA, US
International Classification:

G06F 16/23
H04L 29/08
G06Q 10/10
G06F 8/30
G06F 16/30
H04L 12/18
G06F 16/955
G06F 16/28
G06N 20/00
G06F 16/27
G06F 16/22
Abstract:

A data analysis system stores in-memory representation of a distributed data structure across a plurality of processors of a parallel or distributed system. Client applications interact with the in-memory distributed data structure to process queries using the in-memory distributed data structure and to modify the in-memory distributed data structure. The data analysis system creates uniform resource identifier (URI) to identify each in-memory distributed data structure. The URI can be communicated from one client application to another application using communication mechanisms outside the data analysis system, for example, by email, thereby allowing other client devices to interact with a particular in-memory distributed data structure. The in-memory distributed data structure can be a machine learning model that is trained by one client device and executed by another client device. A client application can interact with the in-memory distributed data structure using different programming languages.

Analyzing Sequence Data Using Neural Networks
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US Patent:

20180322394, Nov 8, 2018
Filed:

May 4, 2018
Appl. No.:

15/971267
Inventors:

- Mountain View CA, US
Nhan Vu Lam Chi - Ho Chi Minh City, VN
Binh Han - Mountain View CA, US
Anh H. Trinh - Mountain View CA, US
Mohammad Saffar - Mountain View CA, US
International Classification:

G06N 3/08
G06N 3/04
G06F 15/18
G06K 9/62
Abstract:

Sequence data, such as time series data is analyzed using neural networks, for example, recurrent neural networks. The sequence data is obtained from a source. For example, a sequence data may represent time series data obtained from a sensor. As another example, the sequence of data may represent a sequence of user interactions performed by a user with an online system. The sequences of data are provided as input to a neural network. A feature vector representation of each input sequence data is extracted from the neural network. The feature vector representation is used for clustering the sequence data. Salient features of clusters of sequence data are determined. The salient features of clusters of sequence data are provided for display via a user interface.