About

I am currently working for Match.com as Software Architect. Launched on the Web in April of 1995, Match.com helped pioneer the online dating industry and now services 24 countries and territories and hosts Web sites in 15 different languages.

Summary

Software professional with 11 years of experience in Microsoft technologies.

  • Extensive experience in the design and development of industrial-strength applications.
  • Demonstrable skills in technical leadership, evangelism, team management, application architecture, requirements analysis, agile methods, process improvement and software development.
  • Ability to define top-level Solution Architecture.
  • Design and implement architectural guidelines and developmental best practises and patterns.
  • 3 patents in social networking space.

Skills Matrix

Patents

  • Stream Relevance : Stream Relevance is a process to selectively materialize activities which are most relevant to a viewing user on social networks. It consists of identifying relevance ‘factors’, combining them (weighted) to get a Relevancy Index, adding stream diversity and delivering highly relevant activities to the end user. There is also a relevance measurement part (using User testing ) that converts a subjective opinion of relevance to an objective score, so that we can compare two streams and determine which one is more relevant than the other.
    United States Patent Application 61/407018
    Filed October 26, 2010
    Inventors: Sai Panyam, Fredrick Roby, Sam Mansukhani
  • Composite Automated Site Engagement Index : Composite Automated Site Engagement (CASE)Index is a single metric to measure engagement of users with MySpace. It is a modified base weighted value index based on Standard & Poor and NASDAQ Index methodology. It is a robust, resilient and reliable metric in the face of changes to Index composition and weights.
    United States Patent Application 61394325
    Filed October 18, 2010
    Inventors: Sai Panyam
  • Automated Facial Recognition And Image Tagging : A high through put system for automatically and efficiently generating Facial Identification Records (FIR) from existing photos which have been manually tagged prior.
    The process includes an algorithm to ‘wash’ existing tags and identify ones which can be used to generate a FIR which has a high probability of representing the user for later recognition and verification.
    The generated ‘good’ FIRs can then be used to automatically recognize and tag the corresponding person in other photos.
    United States Patent Application 61/410716
    Filed November 11, 2010
    Inventors: Sai Panyam, Dominic Carr, Allen Wang, Tom Werz, Phil Batenchuary

Languages

  • Proficient in: C#, HTML, DHTML, ANSI SQL, T-SQL, UML, XML

Software

  • Development Tools: Visual Studio.NET 2010/2008/2005/2003/2002/ 6.0, Visio Professional 2007/2000, Crystal Reports 4.5/5.0/6.0/8.0, NUnit 2.x, NAnt 0.85, Subversion , TortoiseSVN, Visual SourceSafe, Team Foundation Server, PVCS Source Control, CodeSmith 3.2 Professional Edition, Resharper 5.x/4.x/3.x/2.x
  • Databases: MS SQL Server 2008/2005/2000/7.0/6.5,Access 95/97/2000
  • Web Application Frameworks: DotNetNuke 2.1.2/3.1, WCF, ASP.NET, Ajax

    Sai Panyam