- Designed a complete system to broadcast mobile ads from an AppEngine web server and render them on a suite of Android mobile device clients.
- Leveraged existing modules within Google Cloud Platform to store and retrieve device screenshots and log data, and implemented device and account/permissions management on the server.</li>
- Implemented a pipeline in Hive to determine a user’s spam score; banned 2,000 malicious users and wrote an async script to clear 10,000 of their currently set page suggestion values
- Added ‘Communities’ tab to Places Editor, displaying location-relevant groups that user can join (http://facebook.com/places/editor?view=rank)
- Designed a class to support banning malicious users by clicking a button in an internal tool.
- Researched, designed and implemented a module to support localization for SAP IQ Utilities, and demoed the successful from-scratch implementation of two localized tools
- Successfully tracked down existing bugs in complex parts of database server that involved multi-threading, concurrency and advanced data structures
- Investigated, proposed and implemented solutions to resolve issues such as race conditions arising from concurrent database merges and commits
- Ported several branches of Enterprise Server software from 32-bit to Cmake x64 in Visual C++ to transition projects to concurrent build systems, cutting daily build time by 20% per project
- Streamlined development cycle by implementing Cmake compiler to simplify branching and merging of multiple large projects, saving 3 hours for each future build release
- Efficiently set up a virtual farm of build automation tools (cruisecontrol, gradle, ant, etc) on servers and virtual machines to diagnose, maintain and promptly respond to build issues
- Designed and implemented code to support new Flash transaction capabilities on cards – supported thousands of flash and chip transactions daily
- Redesigned drivers and job flow to accommodate weekend and overnight transaction processing
- Greatly improved efficiency of business analysis by automating the process of data collection, report writing, entry reversal, etc. – saving over 500 hours of manual work yearly
