Sachin G Lohe, Age 48915 Muir Woods Dr, Allen, TX 75002

2023010, Apr 6, 2023

Oct 4, 2021

17/493712

- Atlanta GA, US
Hemamalini Kosaraju - Wildwood MO, US
Sachin Lohe - Allen TX, US

G06N 3/04

A method for minimizing algorithmic bias in machine learning models includes generating, using a first machine learning model, a first output representing a prediction, where the first output is generated in response to a first plurality of inputs including sensitive features and non-sensitive features, generating, using a second machine learning model, a second output that minimizes an influence of an algorithmic bias in the first output, where the second output is generated in response to a second plurality of inputs including the non-sensitive features and the first output, and generating a recommendation related to the prediction based on the second output.

2023006, Mar 2, 2023

Oct 17, 2022

18/047260

- Atlanta GA, US
Nimish Buch - Dublin CA, US
Timothy Neville - Redmond WA, US
Mark Cottrell - Frisco TX, US
David Lu - Irving TX, US
Eshrat Huda - Hillsborough NJ, US
Sachin Lohe - Allen TX, US

H04W 24/02
H04L 43/065
H04L 12/14
H04L 43/08
H04M 15/00
H04L 41/0816
H04W 4/24

In one example, the present disclosure describes a device, computer-readable medium, and method for proactively adjusting the infrastructure of a communications network in response to reporting of real-time network performance. For instance, in one example, a method includes obtaining real-time network performance metrics directly from a user endpoint device operated by a customer of a telecommunication service provider network, correlating the real-time network performance metrics with data from another data source, wherein the data includes data other than network performance metrics, and adjusting an infrastructure of the telecommunication service provider network in response to an insight gleaned through the correlating.

2021015, May 20, 2021

Nov 30, 2020

17/107883

- Atlanta GA, US
Nimish Buch - Dublin CA, US
Timothy Neville - Redmond WA, US
Mark Cottrell - Frisco TX, US
David Lu - Irving TX, US
Eshrat Huda - Hillsborough NJ, US
Sachin Lohe - Allen TX, US

H04W 24/02
H04L 12/26
H04L 12/14
H04M 15/00
H04L 12/24
H04W 4/24

In one example, the present disclosure describes a device, computer-readable medium, and method for proactively adjusting the infrastructure of a communications network in response to reporting of real-time network performance. For instance, in one example, a method includes obtaining real-time network performance metrics directly from a user endpoint device operated by a customer of a telecommunication service provider network, correlating the real-time network performance metrics with data from another data source, wherein the data includes data other than network performance metrics, and adjusting an infrastructure of the telecommunication service provider network in response to an insight gleaned through the correlating.

2019020, Jun 27, 2019

Dec 22, 2017

15/852974

- Atlanta GA, US
Nimish Buch - Dublin CA, US
Timothy Neville - Redmond WA, US
Mark Cottrell - Frisco TX, US
David Lu - Irving TX, US
Eshrat Huda - Hillsborough NJ, US
Sachin Lohe - Allen TX, US

H04W 24/02
H04L 12/24
H04L 12/26

In one example, the present disclosure describes a device, computer-readable medium, and method for proactively adjusting the infrastructure of a communications network in response to reporting of real-time network performance. For instance, in one example, a method includes obtaining real-time network performance metrics directly from a user endpoint device operated by a customer of a telecommunication service provider network, correlating the real-time network performance metrics with data from another data source, wherein the data includes data other than network performance metrics, and adjusting an infrastructure of the telecommunication service provider network in response to an insight gleaned through the correlating.

2016023, Aug 11, 2016

Feb 5, 2015

14/614717

- Atlanta GA, US
Sachin Lohe - Allen TX, US

AT&T INTELLECTUAL PROPERTY I, L.P. - Atlanta GA

H04L 29/06
H04L 12/58

Concepts and technologies are disclosed herein for providing a location sharing service. A server computer executing a location sharing service can identify a presenter for a location sharing session and a participant in the location sharing session. The server computer can receive location information from the presenter. The location information can identify a location accessed at a computing device associated with the presenter during a conference. The server computer can provide the location information to a user device associated with the participant during the conference. The server computer also can provide a log including the location information to the user device during or after the conference.