-Currently working for the Office 365 Information Protection Advanced eDiscovery team to provide a pipeline for lawyers to filter through case documents through the use of advanced search and machine learning to sort by relevant documents to their case.-Working on designing and implementing a stateless job framework for tasks which can be parallelized in a massive scale, especially for document processing and image Optical Character Recognition (OCR).

-Built a robust Document Processing pipeline using Apache Spark and Apache Tika for text extraction in Java in order to handle millions of documents per hour.-Created new document parsers in Java and C# to be able to handle new and important file types and their respective file converters to be able to allow the customers to export and view the data with ease.-Optimized the Advanced eDiscovery ingestion platform to improve the speed of data ingestion by over 8 times through the use of batching and data compression in C#.

-Worked for the Office 365 Information Protection Auditing Team to maintain and improve the near-real time, scalable, Azure-cloud based, Audit Pipeline which is able to support billions of audit records a day with extremely low data loss and latency.-Led and designed a cost-reduction project to improve the scalability and robustness of the audit pipeline using the Azure EventHubs and a stateless distributed system using Azure Cloud Services. Reducing the cost by over 65% and improving the stability and maximum throughput of the pipeline-Collaborated in an effort to improve the data completeness for the auditing pipeline to be above 99.999% for the current day and to reduce the amount of data-loss outliers.

-Worked for the Firefox OS team to create scripts and tools which could speed up the development process.-Maintained and added new features to the team's build verification system using python-Refactored and added multiple python and bash scripts to facilitate other internal teams in utilizing our build verification system to improve their development cycle and to catch bugs earlier.

-Optimized the automated builds from the Firefox OS team, lowering the amount of conflicts -Generated scripts in Python and Bash for better communication with Bugzilla, Firefox’s bug forum, and any debugging information to help the team perform optimally.

-Updated Windows Video testing application to utilize Microsoft Media Foundation on a Windows 8.1 tablet.-Designed commands to provide a scalable automated testing environment in C++-Constructed scripts to emulate the encoding process of a video through Media Foundation to help the team efficiently test their code.

-Chosen for the Early Identification Program (EIP), Qualcomm’s freshmen intern program -Enhanced testing framework to help Qualcomm’s IP Multimedia Subsystem (IMS) team to create an efficient testing environment for the team.-Implemented new ways to test code which simulate Voice over IP calls using Python and C by utilizing scenario testing.