Murali Rangarajan

ZL E-Discovery was relaunched with advanced ECA (early case analysis) capabilities that put the solution far ahead of the curve among all the players in the space. I led the design and development of the most advanced and complex enterprise search capability the company had built. I worked together with clients and prospects to understand intricate user needs clearly and managed the development of a robust scalable solution for large enterprises that had vast swathes of unstructured data. The solution also provided a term hits report that provided deep insights into the underlying search results and helped our clients make informed case decisions. I analyzed performance data in production environments to provide feedback to engineering which reduced the search times by 75% compared to initial results.

The research and sensing digital ecosystem was moved from a local infrastructure to a centralized AWS platform that streamlined development and deployment processes as well as boosted the application security. The project saved significant costs in DevOps resources and optimized hardware utilizations by leveraging the economies of scale of a centralized architecture.

With the launch of ZL 8.0 major release, the entire search back-end infrastructure had been overhauled and made robust, including a performance boost, parallel querying support, and compressed storage of search indices. I led the release adoption across our enterprise clients by serving as a technical evangelist. I presented to technical leadership (VPs, CXOs) of large clients on the value proposition and drove the adoption to 75% of the client base within a year of launch. I managed a team of engineers to guide clients on the upgrade path and "tech refresh" projects generating over $1.5 million in service revenues for the company.