Sep 2015 – Jul 2022 · 6 yrs 10 mos

May 2010 – Sep 2015 · 5 yrs 4 mos

Dec 2006 – Jun 2007 · 6 mos

Jun 2006 – Apr 2010 · 3 yrs 10 mos

• Mongo - Rewrite of Yahoo! Mail Classic
• · Worked in the development of a rewritten version of Yahoo! Mail Classic so that the new version can be fully scalable, robust and feature rich.
• · Participated in the designing the application as per MVC and to support all types of future changes required.
• · Developed various tools for the Mail deployement to inorder to make deployment seemlessly easier.
• · Participated in Capacity planning for Yahoo! Mail Classic before the release.
• · Worked in stablitizing and fine tuning the application to make it easier on CPU, memory and other resources.
• · Worked on converting the product to support all browsers on all platform irrespective of the scripting ability of the browser using the Progressive enhancement method.
• · Worked on internationalizing the application to support multiple languages.
• · Worked in various aspects of upgrading the Yahoo! Mail Classic to a Web 2.0 application.
• · Working as a Performance Engineer for this project
• · Worked in fine tunning the various performance aspects of the application like YSlow Score, optimizing the download size, using Keep-Alive effectively, including Ads with less impact on performance, etc.
• ActiveX Scanner
• · Worked in developing a ActiveX Scanner that would find all the memory leaks and buffer overflows in the given ActiveX object.
• · Worked on the end to end development and deployment of this project considering the important factors like Scalablity, robustness, etc.
• · Designed this project based after analyzing various security threats and, memory issues that are possible in ActiveX when used with JavaScript.

May 2005 – Nov 2005 · 6 mos

• Data Consolidation using Extraction Transformation and Loading
• · Designed and developed a complex Data warehousing system that would pull, massage and move machine critical data from the production robots to a huge data warehouse.
• · Made the application robust to work on very high load. The application on average receives 150,000 individual data in 10 minutes which needs to be handled without even a single minute of interruption.
• · Managed a Terabyte datamart which contains machine critical data during this period.
• · Fine tuned the application to the most in order to accept all kind of data from the robots still make the best use of it.