Ahmed Elhassan

*PM on Business Messaging, working on improving the ability for business to monetize on TikTok through DMs. Integrating AI/ML-powered features to improve business experience, user reporting and detection efforts, significantly enhancing platform security and unlocking $XxM in annualized revenue for 2024.

* Led the development and deployment of AI-driven safety features critical to TikTok’s U.S. operations, focusing on Youth Safety, Messaging, Search Safety, and Data Security, ensuring compliance with safety regulations and protecting platform integrity. * Established compliance procedures for data governance, transparency reporting, and content moderation, driving operational excellence and ensuring smooth GTM launches. * Spearheaded the use of machine learning models to mitigate high-risk content, including child exploitation, safeguarding platform integrity and user trust. * Managed a team of 3 Product Managers, promoting a culture of operational excellence through global collaboration and continuous improvement initiatives.

* Led the development and launch of AI/ML data products within the Payments business, providing advanced, scalable fraud detection services that generated over $XxM in annual revenue. * Collaborated with data science and engineering teams to design and optimize machine learning models, driving the success of over XM weekly transactions and ensuring risk and compliance adherence. * Defined and tracked key product metrics, resulting in data-driven feature development and increased product adoption across the business unit. * Managed six cross-functional teams, leading product conception, launch, and multiple iterations, ensuring alignment with business and compliance requirements.

* Built and delivered advanced training courses for over 40 new developers focused on advanced Pega concepts, establishing a new revenue stream worth $100k annually. * Developed and managed a scalable production level Pega application for the United States Air Force (USAF) Research Labs modernizing their risk planning infrastructure. * Developed new functionality in both front and back ends of existing applications, creating intuitive, user-friendly features, solving for user pain points. * Lead sprint review with product owners to demo releases, receive customer feedback, and gather new requirements * Worked with a small team to bring to market an application for the US Marine Corp that resulted in $6M in saved manhours through increased standardization across the enterprise and automated business processes. Created application testing scripts and oversaw UAT sessions to ensure that the software addressed client pain points. * Worked directly with the client technology team to develop an automation feature for an existing enterprise-grade application that saved the client over $50k in manhours annually. * Led a multimillion-dollar sales pitch; developed and presented a demo application to C-suite executives custom to their pain points.

Engaged in Behavioral Economics Research in the Paul Ferraro Lab

At Sage Policy I helped create the informational foundation necessary for the application of economic theory, principles of policy and analytical tools in solving client issues. While establishing myself as an integral member of a small team that provided clients with high quality analysis and policy suggestions in order to improve their financial outlook.