Dec 2008 to 2000 Store ManagerKuif's Petroleum Houston, TX Feb 2004 to Nov 2008 Store ManagerBraeswood Hotel & Convention Houston, TX Sep 1999 to Oct 2002 Room division manager
Education:
University of Houston-Downtown Houston, TX 2014 to 2016 Master's of Business Adminitration in FinanceUniversity of Houston-Downtown 2013 Bachelor's of Business Administration in General BusinessUniversity of Karachi Karachi 1989 to 1991 Bachelor's of Commerce in Business
Dr. Siddiqui graduated from the Sind Med Coll, Univ of Karachi, Karachi, Pakistan in 1990. He works in Orlando, FL and 1 other location and specializes in Nephrology. Dr. Siddiqui is affiliated with Florida Hospital Celebration Health, Florida Hospital Kissimmee, Florida Hospital Orlando, Osceola Regional Medical Center and St Cloud Regional Medical Center.
Dr. Siddiqui graduated from the Dow Medical College, Karachi, Pakistan in 1963. He works in Albion, MI and specializes in Family Medicine and Internal Medicine. Dr. Siddiqui is affiliated with Allegiance Health and Henry Ford Allegiance Carelink.
Virginia Commonwealth University Medical Center Gastroenterology Hepatology 1200 E Marshall St FL 7, Richmond, VA 23298 8048284060 (phone), 8048285348 (fax)
Sentara Internal Medicine Physicians 477 Mclaws Cir STE 1, Williamsburg, VA 23185 7579849650 (phone), 7573456513 (fax)
Education:
Medical School Jawaharlal Inst of Med Educ & Res, Pondicherry Univ, Pondicherry, India Graduated: 1994
Procedures:
Electrocardiogram (EKG or ECG) Vaccine Administration
Dr. Siddiqui graduated from the Jawaharlal Inst of Med Educ & Res, Pondicherry Univ, Pondicherry, India in 1994. He works in Richmond, VA and 1 other location and specializes in Family Medicine and Gastroenterology. Dr. Siddiqui is affiliated with Sentara Williamsburg Regional Medical Center and Virginia Commonwealth University Medical Center.
Dr. Siddiqui graduated from the Univ of Alexandria, Fac of Med, Alexandria, Egypt (330 03 Pr 1/71) in 1982. He works in Houston, TX and specializes in Pediatrics and Adolescent Medicine. Dr. Siddiqui is affiliated with Texas Childrens Hospital and West Houston Medical Center.
Sentara Family Medicine Physicians 1915 Pocahontas Trl STE F5, Williamsburg, VA 23185 7579849750 (phone), 7573453255 (fax)
Education:
Medical School Baba R Das Med Coll, Gorakhpur Univ, Gorakhpur, Up, India Graduated: 2000
Languages:
English
Description:
Dr. Siddiqui graduated from the Baba R Das Med Coll, Gorakhpur Univ, Gorakhpur, Up, India in 2000. He works in Williamsburg, VA and specializes in Family Medicine and Internal Medicine - Geriatrics.
Arkansas Childrens Hospital Pediatric Anesthesiology 1 Childrens Way LOT 203, Little Rock, AR 72202 5013642933 (phone), 5013642939 (fax)
Education:
Medical School Liaquat Med Coll, Univ of Sind, Jamshoro, Pakistan Graduated: 1988
Languages:
Chinese English Spanish Tagalog
Description:
Dr. Siddiqui graduated from the Liaquat Med Coll, Univ of Sind, Jamshoro, Pakistan in 1988. He works in Little Rock, AR and specializes in Pediatric Anesthesiology. Dr. Siddiqui is affiliated with Arkansas Childrens Hospital.
GARABED YERIAZARIAN - HOUSTON TX, US MOHAMMAD REHAN SIDDIQUI - SPRING TX, US EN PENG - HOUSTON TX, US
Assignee:
BAKER HUGHES INCORPORATED - Houston TX
International Classification:
G06F 15/16 G05B 15/02
US Classification:
700 9, 709227
Abstract:
A method of configuring communications between a computing device includes coupling the one or more SIE units to a communication link; receiving at the computing device an indication that the one or more SIE units are coupled to the communication link; selecting one or more of the one or more SIE units for connection; and transmitting an internet protocol address to the selected SIE units.
Optimized Machine Learning Pipeline Execution Based On Execution Graphs
- Redmond WA, US Thomas William Finley - Bellevue WA, US Petro Luferenko - Redmond WA, US Mohammad Zeeshan Siddiqui - Bellevue WA, US Costin I. Eseanu - Redmond WA, US Eric Anthony Erhardt - Bismark ND, US Yael Dekel - Redmond WA, US Ivan Matantsev - Bothell WA, US
International Classification:
G06F 8/30 G06N 20/00
Abstract:
Embodiments provide a machine learning framework that enables developers to author and deploy machine learning pipelines into their applications regardless of the programming language in which the applications are structured. The framework may provide a programming language-specific API that enables the application to call a plurality of operators provided by the framework. The framework provides any number of APIs, each for a different programming language. The pipeline generated via the application is represented as an execution graph comprising node(s), where each node represents a particular operator. When a pipeline is submitted for execution, calls to the operators are detected, and nodes corresponding to the operators are generated for the execution graph. Once the execution graph is complete, the execution graph is provided to an execution engine, which reconstructs a corresponding execution graph that is structured in accordance with the operators' programming language and executes the reconstructed execution graph.
Efficient Streaming Based Lazily-Evaluated Machine Learning Framework
- Redmond WA, US Thomas William Finley - Bellevue WA, US Pete Luferenko - Redmond WA, US Mohammad Zeeshan Siddiqui - Bellevue WA, US Costin Eseanu - Redmond WA, US Eric Anthony Erhardt - Bismark ND, US Yael Dekel - Redmond WA, US Ivan Matantsev - Bothell WA, US
International Classification:
G06N 20/00 G06F 16/2453 G06F 16/2455
Abstract:
An efficient, streaming-based, lazily-evaluated machine learning (ML) framework is provided. An ML pipeline of operators produce and consume a chain of dataviews representing a computation over data. Non-materialized (e.g., virtual) views of data in dataviews permit efficient, lazy evaluation of data on demand regardless of size (e.g., in excess of main memory). Data may be materialized by DataView cursors (e.g., movable windows over rows of an input dataset or DataView). Computation and data movement may be limited to rows for active columns without processing or materializing unnecessary data. A chain of dataviews may comprise a chain of delegates that reference a chain of functions. Assembled pipelines of schematized compositions of operators may be validated and optimized with efficient execution plans. A compiled chain of functions may be optimized and executed in a single call. Dataview based ML pipelines may be developed, trained, evaluated and integrated into applications.
Availability Management In A Distributed Computing System
- Redmond WA, US JUN WANG - Sammamish WA, US MARCUS FELIPE FONTOURA - Clyde Hill WA, US MARK EUGENE RUSSINOVICH - Hunts Point WA, US MOHAMMAD ZEESHAN SIDDIQUI - Bellevue WA, US PRITESH PATWA - Redmond WA, US SEAN DAVID ZIMMERMAN - Seattle WA, US XIAOXIONG TIAN - Kirkland WA, US
International Classification:
G06F 11/00 H04L 12/24 G06F 9/455
Abstract:
Various methods and systems for implementing an availability management system for implementing an availability management, in distributed computing systems, are provided. An availability management system implements an availability manager and an availability configuration interface to meet availability guarantees for tenant infrastructure. The availability management systems operates with availability zones, computing clusters, fault and upgrade domains to allocate and de-allocate virtual machine sets of virtual machine instances to a distributed computing system based on tenant-defined availability parameters. The availability manager is configured to: based on an availability profile, allocate the virtual machine sets across the availability zones using an allocation scheme. The allocation scheme is a virtual machine set spanning availability zones allocation scheme for performing evaluations to determine an allocation configuration defined across at least two availability zones for allocating virtual machine sets. When the allocation configuration meets the availability parameters, the allocation scheme selects the allocation configuration for allocating the virtual machine set.
Availability Management Interfaces In A Distributed Computing System
- Redmond WA, US JUN WANG - Sammamish WA, US MARCUS FELIPE FONTOURA - Clyde Hill WA, US MARK EUGENE RUSSINOVICH - Hunts Point WA, US MOHAMMAD ZEESHAN SIDDIQUI - Bellevue WA, US PRITESH PATWA - Redmond WA, US SEAN DAVID ZIMMERMAN - Seattle WA, US XIAOXIONG TIAN - Kirkland WA, US
International Classification:
G06F 11/00 H04L 12/24 G06F 9/455
Abstract:
Various methods and systems for implementing an availability management system for implementing an availability management, in distributed computing systems, are provided. An availability management system implements an availability manager and an availability configuration interface to meet availability guarantees for tenant infrastructure. The availability management systems operates with availability zones, computing clusters, fault and upgrade domains to allocate and de-allocate virtual machine sets of virtual machine instances to a distributed computing system based on tenant-defined availability parameters. The availability configuration interface of the availability management system supports receiving availability parameters that are used to generate an availability profile. The availability profile comprises availability parameters including, configurations for spanning or non-spanning, rebalancing, fault domains, update domains, and availability zones associated with allocating a virtual machine sets. The availability zones are exposed to the tenant as logically-defined availability zones that map to physically-defined availability zones for an abstracted implementation of the availability zones.
Availability Management Operations In A Distributed Computing System
- Redmond WA, US JUN WANG - Sammamish WA, US MARCUS FELIPE FONTOURA - Clyde Hill WA, US MARK EUGENE RUSSINOVICH - Hunts Point WA, US MOHAMMAD ZEESHAN SIDDIQUI - Bellevue WA, US PRITESH PATWA - Redmond WA, US SEAN DAVID ZIMMERMAN - Seattle WA, US XIAOXIONG TIAN - Kirkland WA, US
International Classification:
H04L 29/08 H04L 12/24
Abstract:
Various methods and systems for implementing an availability management system for implementing an availability management, in distributed computing systems, are provided. An availability management system implements an availability manager and an availability configuration interface to meet availability guarantees for tenant infrastructure. The availability management systems operates with availability zones, computing clusters, fault and upgrade domains to allocate and de-allocate virtual machine sets of virtual machine instances to a distributed computing system based on tenant-defined availability parameters. The availability parameters are used to generate an availability profile. The availability manager is configured to, based on an availability profile, allocate the virtual machine sets based an allocation scheme. The availability manager specifically performs scaling-out, scaling-in and rebalancing operations for allocating and de-allocating the virtual machine sets. An allocation configuration that meets the availability parameters of the availability profile is determined the allocation configuration is used for allocating the virtual machine set.
Systems And Methods For Delivering Location-Triggered Oilfield Content
- Stafford TX, US Mohammad Siddiqui - Stafford TX, US
International Classification:
G06Q 50/02 G06F 3/0486 G06F 3/0481 G06Q 10/06
Abstract:
Systems, methods, and computer readable media for delivering location-triggered oilfield content. According to an embodiment, a user can obtain content that is customized to addressing a problem encountered at an oilfield located in a specified geographical location. The user can associate geographical identification metadata or geotags with the problem in order to access, share and leverage information pertaining to overcoming or resolving the problem. The user may also be able to search through a repository that contains content related to a plurality of problems encountered at the specific oilfield, receive recommendations for overcoming those specific challenges and acquire or solicit bids for equipment and services associated with the recommendations.
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Engineering manager experienced in hardware and software with strong focus in test, validation, quality systems and manufacturing
Summary of... Engineering manager experienced in hardware and software with strong focus in test, validation, quality systems and manufacturing
Summary of Qualifications:
•Well versed in test hardware and software development
•Well experienced in electronic design and design-for-testability
...