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Suresh Y Yanamadala

from Redwood City, CA
Age ~56

Suresh Yanamadala Phones & Addresses

  • 1469 Macdonald St, Redwood City, CA 94061 (650) 257-7117
  • 4980 Hildasue Ter, Fremont, CA 94555 (510) 796-1069
  • Boca Raton, FL
  • Delray Beach, FL
  • Deerfield Beach, FL
  • Sunnyvale, CA
  • Riverview, FL
  • Deerfield Bch, FL

Resumes

Resumes

Suresh Yanamadala Photo 1

Field Chief Technology Officer And Senior Vice President

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Location:
San Francisco, CA
Industry:
Information Technology And Services
Work:
Acalvio Technologies
Field Chief Technology Officer and Senior Vice President

Host Analytics Inc
Senior Vice President Engineering and Architect

Host Analytics Inc Sep 2018 - Mar 2019
Vice President Engineering and Architect

Apomaya Aug 2016 - Jul 2018
Founder

Predii Oct 2015 - Aug 2016
Technical Advisor
Education:
National Institute of Technology Warangal 1985 - 1989
St. Patricks High School 1972 - 1982
Skills:
Saas
Cloud Computing
Software Project Management
Enterprise Software
Pre Sales
Professional Services
Software Development
Enterprise Architecture
Start Ups
Management
Databases
Integration
Product Management
Agile Methodologies
Security
Solution Architecture
Solution Selling
It Strategy
Unix
Sdlc
Networking
Data Center
Business Intelligence
Vendor Management
Virtualization
Soa
Strategic Partnerships
Software As A Service
Distributed Systems
Network Administration
Storage
Scalability
Identity Management
It Management
Architectures
Business Alliances
Partner Management
Sales Enablement
High Availability
Architecture
Service Oriented Architecture
Big Data
System Architecture
Languages:
Hindi
Telugu
Kannada
Certifications:
Certified Scrummaster® (Csm®)
Certified Scrummasterâ® (Csmâ®)
Suresh Yanamadala Photo 2

Suresh Yanamadala

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Publications

Us Patents

System And Method For Providing Efficient Shared Memory In A Virtual Memory System

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US Patent:
58754873, Feb 23, 1999
Filed:
Jun 7, 1995
Appl. No.:
8/472364
Inventors:
William H. Schwartz - Delray Beach FL
Suresh Yanamadala - Deerfield Beach FL
Assignee:
International Business Machines Corporation - Armonk NY
International Classification:
G06F 945
US Classification:
711202
Abstract:
A method and system for allowing multiple tasks to share virtual memory areas, in a memory management system for a computer, uses an independent address space created such that it can be "attached" to multiple address spaces. Any change to the shared address space is reflected in all attached address spaces with just one operation to the shared address space. Entities in the shared address space require only one set of system resources. Since the same powerPC virtual segment ID is used for all attached address spaces, only one set of powerPC page table entries is needed. A feature is attaching shared memory with and without control privileges to provide protection; tasks with privilege can manipulate the address space using the same operations and base addresses as in the non-shared normal address space, and tasks with normal attachment can only reference the memory objects in the overlaid shared address space--memory objects can not be created or destroyed.

Monitoring Ecommerce Transactions Using Transaction Metrics Statistics For Different Combinations Of Transaction Attributes And Values

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US Patent:
20160239771, Aug 18, 2016
Filed:
Feb 12, 2015
Appl. No.:
14/620616
Inventors:
- New York NY, US
Suresh YANAMADALA - Redwood City CA, US
Sanjay VYAS - Fremont CA, US
Rammohan VARADARAJAN - Cupertino CA, US
Assignee:
CA, Inc. - New York NY
International Classification:
G06Q 10/06
Abstract:
A method performed by an eCommerce risk assessment system includes receiving eCommerce transaction reports, each containing transaction metrics and transaction attributes having values. A statistic is separately generated for each different type of the transaction metrics based on the values of the transaction attributes. One type of the transaction metrics is selected for analysis. For each combination of a different type of the transaction attributes and a different value among the values occurring for the type of the transaction attribute, a transaction metric statistic is generated for the selected type of the transaction metrics having the combination of the type of the transaction attribute and the value. An analytical model of the eCommerce transactions is trained based on the values of the transaction attributes for the transaction metric statistics. Risk scores are output from the analytical model based on content of eCommerce transactions input to the analytical model.
Suresh Y Yanamadala from Redwood City, CA, age ~56 Get Report