Acquired by Docusign.

Meta’s codebase is very large and was developed rapidly and organically over more than 15 years. My team was responsible for making sure all data accessed by the code was done so using the appropriate API (which enforce privacy checks) rather than directly reading from the data stores. Leveraged concrete syntax trees to identify and safely update privacy issues across the Instagram codebase for around 10 different data stores (MySQL, various distributed NoSQL stores).Worked closely with cross functional teams to prioritize and fix privacy issues.Improved team processes for onboarding new team members, created comprehensive documentation for on-call rotations. Continued to apply 'engineering excellence' habits to the code base. Took opportunities to increase the clarity and test coverage when fixing bugs or adding new features.

Reduced user's exposure to bullying, harassment, hate speech and other harmful material by 5% across comment surfaces on FacebookLaunched projects that applied machine learning models to classify, order and, conditionally, hide harmful content. Analyzed experimental results to fine-tune the ways in which the models were used to prevent regressions in daily active users and resources.Acknowledged by leads across the organization for improving code quality and creating solid documentation.

Designed and implemented reliable ETL pipelines to process thousands of events per second from devices running Big Fish mobile games. Migrated these systems from a company managed data center to Google Cloud technologies which allowed the team to easily share datasets with third parties and enabled the services to scale elastically in response to demand. Leveraged Google Cloud functions to integrate application data from third parties to enhance reports.Worked closely with the product managers, data science and report building teams to determine product requirements.Designed the next version of the pipeline using Kafka, Google Dataflow and Snowflake.Trained less experienced team members in Python and Java development in order to in break up knowledge silos and increase velocity.Cloud Technologies, Google App Engine, Google Cloud Functions, Big Query, Kubenetes, Python, Scala, Java, Linux

Implemented the on-prem version of the Big Fish mobile telemetry pipeline to support analysis of user data (Scala, Spark, Kafka, Hadoop Hive).Built features to support real-time insights into player behavior (Kafka Streams, Java, Elastic Search, Kibana).Streamlined the deployment process to from many manual steps to a single script, making the process much faster and less error-prone (Jenkins, Docker, Kubernetes).

Implemented a billing and invoicing system for employees and clients.SQL, C#, ServiceStack, HTTP, REST, AngularJs, Bootstrap, HTML/CSS

Implemented a service to allow game developers to configure Xbox One experiences such as Achievements and Leaderboards (C#, XML, REST).Developed the player stats service which takes real-time data from millions of Xbox One consoles and creates higher level object (‘stats’) which are used to power user experiences (C#, REST).Wrote scripts to process data in Cosmos (Microsoft internal big-data product) to reconcile incomplete user data.Mentored junior developers into productive team members through code reviews and fostering best practices such as unit testing and creating manageable sprint deliverables.

Designed and built features for Internet Explorer 9. Owned ActiveX Filtering and Add-on Performance Advisor (US Patent application # 12/881948) which allows users to configure which addons are loaded when the browser starts (C++, COM/Win32).Developed setup code and integrated Internet Explorer’s setup with Windows’ Component Based Servicing

Designed and Implemented setup code for features in .NET 3.5 (C++, Powershell, Windows Installer XML Toolset).

Built test tools for Microsoft Speech Server and its web-based client applications (Javascript, C#, HTML)