• Led multiple Data Privacy engineering efforts related to Third-Party data exchanges resulting in 100% (from 0%) of all outbound Gateway requests/usecases being auditable for compliance.

• Led the effort to build and maintain the singular gateway used for consuming incoming Webhooks from third-parties

• Led effort to build AI infrastructure that allows for AI Projects to incorporate crowdsourced Humans-in-the-Loop for training.

• Participated in cross-team workgroups to standardize on engineering practices to improve engineering craftsmanship at LinkedIn.

Designed and built scalable "compliance-as-a-service" infrastructure to comply with certain GDPR and CCPA regulations and other internal compliance and security requirements.

I work on the Gateway as a Platform team. Our platform "restlifies" the greater internet so that LinkedIn services can communicate with external services as if they were any other internal Rest.li LinkedIn service.

• Worked on core Windows 10 features such as Delivery Optimization, Windows Update, and the Windows Store, with focus on delivering a good download experience.

• Built Data Pipelines including data emission, ingestion, storage, aggregation, and reporting. Individual pipelines processed multiple TBs of tabular data per day and gave decision-makers the ability the see real-world performance of our feature across hundreds of millions of machines.

• Designed and built automated end-to-end testing and deployment infrastructure that can simulate peer-to-peer downloads in numerous conditions, including randomized conditions (chaos engineering).

• Automated the processing and analysis of large datasets

• Automated the generation of reports that give insight into the health and performance of services