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Amir H Atai

from New Boston, NH
Age ~64
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Also known as:
Amir M Atai
Phone and address:
131 Hooper Hill Rd, New Boston, NH 03070
Related to:
Mary A Atai, 69
Connected to:
Nina A Atai, 42Christine A Ataian, 36Daniel V Ataide, 46Diego R Ataide, 45Joao Ataide, 73Joel V Ataide, 40Lucas D Ataide, 36Wajma Ataie, 40Yasemin Atak, 53Masako Atake, 59

Amir Atai Phones & Addresses

  • 131 Hooper Hill Rd, New Boston, NH 03070
  • Nashua, NH
  • 18 Lafayette Ct, Middletown, NJ 07748 (732) 796-9480
  • North Middletown, NJ
  • Red Bank, NJ
  • Gainesville, FL
  • Miami, FL
  • 18 Lafayette Ct, Middletown, NJ 07748

Work

Position: Food Preparation and Serving Related Occupations

Education

Degree: High school graduate or higher

Skills

Atm Networks • Rf • Linux • Mpls • Iptv • Voip • Broadband • Epc and Wireless Packet Core • Ngn • Perl • 3Gpp • Start Ups • Network Design • Cdma • Telecommunications • Ip • 4G • Tcp/Ip • Ss7 • Sip • 3G • Snmp • Gsm • Ethernet • Wireless Networking • Embedded Systems • Mobile Communications • Intelligent Networks • Product Management • Qos • Ip Multimedia Subsystem • Dsl • Telephony • Wimax • Rcs • Network Architecture • Umts • Lte • Wifi • Gprs • Wireless • Unix • Mobile Devices • Open Source Software • Cellular Communications • Cloud Computing • Unified Communications • Integration • Mobile Technology • System Architecture

Industries

Telecommunications

Resumes

Resumes

Amir Atai Photo 1

Amir Atai

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Location:
131 Hooper Hill Rd, New Boston, NH 03070
Industry:
Telecommunications
Skills:
Atm Networks
Rf
Linux
Mpls
Iptv
Voip
Broadband
Epc and Wireless Packet Core
Ngn
Perl
3Gpp
Start Ups
Network Design
Cdma
Telecommunications
Ip
4G
Tcp/Ip
Ss7
Sip
3G
Snmp
Gsm
Ethernet
Wireless Networking
Embedded Systems
Mobile Communications
Intelligent Networks
Product Management
Qos
Ip Multimedia Subsystem
Dsl
Telephony
Wimax
Rcs
Network Architecture
Umts
Lte
Wifi
Gprs
Wireless
Unix
Mobile Devices
Open Source Software
Cellular Communications
Cloud Computing
Unified Communications
Integration
Mobile Technology
System Architecture

Publications

Us Patents

Service Control Point Congestion Control Method

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US Patent:
57780579, Jul 7, 1998
Filed:
Feb 9, 1996
Appl. No.:
8/599573
Inventors:
Amir Atai - Middletown NJ
Assignee:
Bell Communications Research, Inc. - Morristown NJ
International Classification:
H04M 1508
US Classification:
379220
Abstract:
A method of managing the overloading of calls directed to a single telephone number. The method enables Service Control Point to service calls a small percentage of the time during measurement intervals in order to receive Termination Notification messages. The Service Control Point then determines, from the contents of the Termination Notification messages for each measurement interval, the rate of attempted calls and the fraction of the total calls that were incomplete, (i. e. , erroneous or received a busy signal) for a telephone number n, and invokes Automatic Code Gapping for the number n where both the attempted call rate and the incomplete calls exceed a predetermined threshold. If the threshold continues to be exceeded in subsequent measurement intervals, a larger gap interval for the Automatic Code Gapping can be set, and the process repeated until the proper gap is found.

Systems And Methods For Building And Deploying Machine Learning Applications

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US Patent:
20220206773, Jun 30, 2022
Filed:
Dec 23, 2021
Appl. No.:
17/560509
Inventors:
- Chelmsford MA, US
Amir H. Atai - New Boston NH, US
Michael Piecuch - Cary NC, US
Abdul Hannan Kanji - Lowell MA, US
Ruisi Su - West Roxbury MA, US
Sean Michael - Denver CO, US
Hassan Ahmed - Concord MA, US
Assignee:
Sway AI Inc. - Chelmsford MA
International Classification:
G06F 8/60
G06F 9/48
Abstract:
According to some aspects, techniques are provided for building and deploying a machine learning application that do not require a user to have expert knowledge of machine learning or programming. These techniques may be executed by a system that provides a graphical user interface which allows a user to visually define a workflow for a machine learning application, without requiring the user to be an expert in machine learning. The system may automatically represent the workflow as a specification that may be used to build and deploy a machine learning application. The system may automatically execute the workflow in a series of stages while managing data flow and execution context between the stages. Such an execution process may provide flexibility in execution so that a user can build a complex machine learning application without it being necessary for the user to have detailed knowledge of how execution is managed.

Systems And Methods For Building And Deploying Machine Learning Applications

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US Patent:
20220206774, Jun 30, 2022
Filed:
Dec 23, 2021
Appl. No.:
17/560576
Inventors:
- Chelmsford MA, US
Amir H. Atai - New Boston NH, US
Michael Piecuch - Cary NC, US
Hassan Ahmed - Concord MA, US
Assignee:
Sway AI Inc. - Chelmsford MA
International Classification:
G06F 8/60
G06F 9/48
Abstract:
According to some aspects, techniques are provided for building and deploying a machine learning application that do not require a user to have expert knowledge of machine learning or programming. These techniques may be executed by a system that provides a graphical user interface which allows a user to visually define a workflow for a machine learning application, without requiring the user to be an expert in machine learning. The system may automatically represent the workflow as a specification that may be used to build and deploy a machine learning application. The system may automatically execute the workflow in a series of stages while managing data flow and execution context between the stages. Such an execution process may provide flexibility in execution so that a user can build a complex machine learning application without it being necessary for the user to have detailed knowledge of how execution is managed.
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Amir H Atai from New Boston, NH, age ~64 Get Report