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Asif U Haque

from San Leandro, CA
Age ~40
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Also known as:
Riffat Haque, Asif Hague, Haque Maqsood
Related to:
Ali H Faraj, 53Maqsood Haque, 88Riffat Haque, 75
Connected to:
Aalia K Haque, 38Aftabul Haque, 51Aijazul Haque, 70Al A Haque, 53Anis U Haque, 55Anwarul Haque, 86Ashadul Haque, 44Atiqul Haque, 62Azeem Haque, 52Azeez Haque, 91

Asif Haque Phones & Addresses

  • San Leandro, CA
  • Fremont, CA
  • Monterey, CA
  • Danville, CA

Resumes

Resumes

Asif Haque Photo 1

Associate Director, Quality Assurance

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Location:
San Francisco, CA
Industry:
Pharmaceuticals
Work:
Denali Therapeutics
Associate Director, Quality Assurance
Astex Pharmaceuticals Jan 2015 - Aug 2019
Qa Manager, Global Stability
Impax Laboratories Dec 2013 - Jan 2015
Qc Manager, Stability
Impax Laboratories Dec 2007 - Dec 2013
Qc Supervisor
Impax Laboratories May 2006 - Dec 2007
Qc Chemist I and Ii
Education:
University of California
University of California, Berkeley
Bachelors, Chemistry
Skills:
Pharmaceutical Industry
Gmp
Fda
Quality Control
Capa
Sop
Validation
Change Control
Quality Assurance
Hplc
Quality System
21 Cfr Part 11
Asif Haque Photo 2

Asif Haque

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Asif Haque Photo 3

Asif Haque

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Location:
San Francisco Bay Area
Industry:
Animation

Business Records

Name / Title
Company / Classification
Phones & Addresses
Asif Haque
Director of Operations
HOME TRUST MORTGAGE CORPORATION
Mortgage Broker · Real Estate Credit · Mortgage and Nonmortgage Loan Brokers
4637 Chabot Dr #106, Pleasanton, CA 94588
(925) 847-8800

Publications

Us Patents

Geohash-Related Location Predictions

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US Patent:
20200260219, Aug 13, 2020
Filed:
Apr 27, 2020
Appl. No.:
16/859797
Inventors:
- San Francisco CA, US
Snir Kodesh - San Francisco CA, US
Jatin Chopra - San Francisco CA, US
Kevin Fan - San Francisco CA, US
Charlie Lin - San Francisco CA, US
Limin Shen - San Francisco CA, US
Dor Levi - San Francisco CA, US
Asif Haque - San Francisco CA, US
Zeynep Erkin Baz - San Francisco CA, US
International Classification:
H04W 4/02
H04W 4/44
H04W 4/029
H04W 4/021
Abstract:
Embodiments provide techniques, including systems and methods, for determining an estimated target pickup location for a corresponding transport request at a particular location, such as associated with a particular geohash. A requestor may send a request that is associated with a location that does not reflect the requestor's intent regarding where they would like to be met by the provider (i.e., “picked up”). GPS inaccuracies may cause the request location to inaccurately indicate where the requestor will be; for example, the request location may be inside a building while the requestor is waiting on a curb around a far side of the building. The target pickup location allows for a requestor and a provider to meet more efficiently, reducing delay for the provider and improving the efficiency of the system by preventing provider system resources from being taken from other service areas and decreasing provider downtime upon matching.

Geohash-Related Location Predictions

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US Patent:
20200112826, Apr 9, 2020
Filed:
Nov 19, 2019
Appl. No.:
16/688859
Inventors:
- San Francisco CA, US
Snir Kodesh - San Francisco CA, US
Jatin Chopra - San Francisco CA, US
Kevin Fan - San Francisco CA, US
Charlie Lin - San Francisco CA, US
Limin Shen - San Francisco CA, US
Dor Levi - San Francisco CA, US
Asif Haque - San Francisco CA, US
Zeynep Erkin Baz - San Francisco CA, US
International Classification:
H04W 4/02
H04W 4/021
H04W 4/029
H04W 4/44
Abstract:
Embodiments provide techniques, including systems and methods, for determining an estimated target pickup location for a corresponding transport request at a particular location, such as associated with a particular geohash. A requestor may send a request that is associated with a location that does not reflect the requestor's intent regarding where they would like to be met by the provider (i.e., “picked up”). GPS inaccuracies may cause the request location to inaccurately indicate where the requestor will be; for example, the request location may be inside a building while the requestor is waiting on a curb around a far side of the building. The target pickup location allows for a requestor and a provider to meet more efficiently, reducing delay for the provider and improving the efficiency of the system by preventing provider system resources from being taken from other service areas and decreasing provider downtime upon matching.

Geohash-Related Location Predictions

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US Patent:
20190306657, Oct 3, 2019
Filed:
Mar 29, 2019
Appl. No.:
16/369998
Inventors:
- San Francisco CA, US
Snir Kodesh - San Francisco CA, US
Jatin Chopra - San Francisco CA, US
Kevin Fan - San Francisco CA, US
Charlie Lin - San Francisco CA, US
Limin Shen - San Francisco CA, US
Dor Levi - San Francisco CA, US
Asif Haque - San Francisco CA, US
Zeynep Erkin Baz - San Francisco CA, US
International Classification:
H04W 4/02
H04W 4/44
H04W 4/021
H04W 4/029
Abstract:
Embodiments provide techniques, including systems and methods, for determining an estimated target pickup location for a corresponding transport request at a particular location, such as associated with a particular geohash. A requestor may send a request that is associated with a location that does not reflect the requestor's intent regarding where they would like to be met by the provider (i.e., “picked up”). GPS inaccuracies may cause the request location to inaccurately indicate where the requestor will be; for example, the request location may be inside a building while the requestor is waiting on a curb around a far side of the building. The target pickup location allows for a requestor and a provider to meet more efficiently, reducing delay for the provider and improving the efficiency of the system by preventing provider system resources from being taken from other service areas and decreasing provider downtime upon matching.

Automatic Generation Of Human-Understandable Geospatial Descriptors

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US Patent:
20190171943, Jun 6, 2019
Filed:
Dec 3, 2017
Appl. No.:
15/829965
Inventors:
- San Francisco CA, US
JAMES MURPHY - San Francisco CA, US
ASIF HAQUE - San Francisco CA, US
RAMESH SARUKKAI - San Francisco CA, US
International Classification:
G06N 5/02
G06Q 50/30
G06F 17/30
G06N 99/00
Abstract:
A disclosed method may include receiving geographic coordinates of a location at which two parties are to rendezvous, generating a human-understandable geospatial descriptor for the request location, and sending the descriptor to respective devices of the two parties for presentation to the two parties. Generating the human-understandable geospatial descriptor may include identifying a human-visible feature in the vicinity of the request location that is labeled within available map data, selecting, based on a descriptor generation model, a reference expression relative to the identified feature, and applying a grammar-based constructor to the label and the selected reference expression to form the human-understandable geospatial descriptor. The model may be tuned using machine learning. The two parties may include a ride requestor and a ride provider in a ridesharing service. The identified feature may be a point of interest, landmark, street name, intersection, marker, or structure.

Geohash-Related Location Predictions

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US Patent:
20190037355, Jan 31, 2019
Filed:
Oct 1, 2018
Appl. No.:
16/148633
Inventors:
- San Francisco CA, US
Snir Kodesh - San Francisco CA, US
Jatin Chopra - San Francisco CA, US
Kevin Fan - San Francisco CA, US
Charlie Lin - San Francisco CA, US
Limin Shen - San Francisco CA, US
Dor Levi - San Francisco CA, US
Asif Haque - San Francisco CA, US
Zeynep Erkin Baz - San Francisco CA, US
International Classification:
H04W 4/02
H04W 4/44
H04W 4/021
Abstract:
Embodiments provide techniques, including systems and methods, for determining an estimated target pickup location for a corresponding transport request at a particular location, such as associated with a particular geohash. A requestor may send a request that is associated with a location that does not reflect the requestor's intent regarding where they would like to be met by the provider (i.e., “picked up”). GPS inaccuracies may cause the request location to inaccurately indicate where the requestor will be; for example, the request location may be inside a building while the requestor is waiting on a curb around a far side of the building. The target pickup location allows for a requestor and a provider to meet more efficiently, reducing delay for the provider and improving the efficiency of the system by preventing provider system resources from being taken from other service areas and decreasing provider downtime upon matching.

Geohash-Related Location Predictions

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US Patent:
20180288568, Oct 4, 2018
Filed:
Jan 25, 2018
Appl. No.:
15/880396
Inventors:
- San Francisco CA, US
Snir Kodesh - San Francisco CA, US
Jatin Chopra - San Francisco CA, US
Kevin Fan - San Francisco CA, US
Charlie Lin - San Francisco CA, US
Limin Shen - San Francisco CA, US
Dor Levi - San Francisco CA, US
Asif Haque - San Francisco CA, US
Zeynep Erkin Baz - San Francisco CA, US
International Classification:
H04W 4/02
H04W 4/021
Abstract:
Embodiments provide techniques, including systems and methods, for determining an estimated target pickup location for a corresponding transport request at a particular location, such as associated with a particular geohash. A requestor may send a request that is associated with a location that does not reflect the requestor's intent regarding where they would like to be met by the provider (i.e., “picked up”). GPS inaccuracies may cause the request location to inaccurately indicate where the requestor will be; for example, the request location may be inside a building while the requestor is waiting on a curb around a far side of the building. The target pickup location allows for a requestor and a provider to meet more efficiently, reducing delay for the provider and improving the efficiency of the system by preventing provider system resources from being taken from other service areas and decreasing provider downtime upon matching.
Control profile
Asif U Haque from San Leandro, CA, age ~40 Get Report