• Led AI model training initiatives by overseeing a team of 46 vendor reviewers responsible for data labeling and quality assurance to enhance AI accuracy.

• Spearheaded process automation, improving efficiency by 30% and reducing annotation errors by 25%.

• Developed and standardized quality control frameworks, ensuring consistency across AI training datasets.

• Partnered with Product, Engineering, and Data Science teams to refine data annotation workflows, leading to higher AI model precision and recall.

• Designed scalable workflow solutions to support large-scale AI projects, improving productivity and data labeling speed.

• Introduced strategic KPIs to measure data labeling accuracy, workforce efficiency, and AI training success.

• Developed a Quality Queue Auditing System at Meta to ensure AI training data accuracy, improving model precision by 15%.

• Led a Product Data Operations initiative that optimized AI workflows, reducing manual interventions by 35%.

• Implemented a Dry Queue Alerting System, allowing proactive issue detection and reducing downtime by 50%.

• Collaborated on AI-driven product enhancements, positioning datasets for scalability in machine learning applications.

• Optimized 2D and 3D image annotation workflows, increasing accuracy by 20% through data-driven insights.

• Implemented quality assurance best practices, reducing defects and inconsistencies in labeled datasets.

• Led cross-functional collaboration between Engineering, Product, and Data teams to streamline operational processes.

• Conducted deep analysis of annotation data, providing actionable insights to improve model performance.

• Developed internal data inventory systems and automated workflows, reducing manual processing time by 40%.

• Negotiated contracts and managed vendor relationships, achieving a 97% retention rate.

• Designed financial reports and analytics dashboards, providing data-driven insights for executive decision-making.

Previously tracked and analyzed industry trends and developer feedback, which was utilized to enhance internal platforms. I also prioritized engagement across all levels of the partner organizations, which included C-suite level staff. My efforts paid off with the following achievements:

• Introduced various third-party development solutions, such as Apple software development kits.

• Cultivated internal and external industry relationships to aggressively promote brand messaging and benefits to developers.

• Improved communications with Application Developers by 40%.