Member of the Advisory Committee at Johns Hopkins University's Department of Electrical and Computer Engineering. As a member of the Advisory Committee, I collaborate with esteemed colleagues to provide strategic guidance and support to the department, offering counsel and support in

curriculum and research initiative planning, student career development, and collaborative

strategies with peer institutions and industrial partners.

Kickstarted the business transformation for the Data Engineering organization by developing the blueprint for DE Machine Learning (ML) domain experts at Facebook, outlining roles and responsibilities to advance the competency across Facebook, Instagram, Messenger, WhatsApp, and Oculus. This blueprint was the foundation for launching a cross-pillar initiative to establish best practices, develop technologies and talent within the organization.

Envisioned and led the execution of the first Data Engineering ML domain summit, showcasing projects and technologies across the AI infrastructure and data engineering product teams. The event had 30 presenters across all Facebook products and hundreds of attendees.

Architected and developed the data infrastructure for Facebook News products, enabling the understanding of the global news ecosystem, data analytics, and content ranking. Developed predictive models for news content level signals that enabled the launch of product improvements. Championed the understanding and evaluation of algorithmical fairness of ML models in news, integrating labels and model performance metrics for monitoring and mitigation.

Happy to have participated as a judge and also mentored the 2nd place winner, Leaders of Africa, among others in the General Ventures category.

https://bpc.jhu.edu/