I'm a senior technology leader specializing in large-scale engineering operations and AI training initiatives, with proven experience directly managing 150+ Engineering Quality Managers and Consultants across all technological stacks. My leadership expertise centers on preparing and developing management teams to oversee up to 3,000+ engineers focused on quality assurance and delivery for data annotation and AI training in software engineering domains. This operational leadership is complemented by a Summa Cum Laude Bachelor of Science in Computer Science with a concentration in Data Analysis and Program Management, earned in just 27 months while working full-time and managing home responsibilities with my husband for our three daughters.
My leadership foundation was built through 15+ years of management and organizational leadership experience (2004-2019), including roles as Branch and Regional Loan Office Manager and President and Coach of a youth cheerleading league serving 125+ participants. After making a strategic pivot to technology in 2020, I rapidly scaled from individual contributor to enterprise-level engineering operations leadership. This unique combination of business leadership, large-scale team management, and deep technical expertise enables me to architect both technical solutions and organizational systems that deliver results at scale.
At Scale AI, I demonstrated exceptional ability to scale engineering quality operations— advancing to lead comprehensive management structures spanning multiple technological domains. My approach combines strategic organizational design with hands-on technical mentorship, successfully developing management frameworks that ensure quality and delivery across thousands of engineering contributors. This work directly supported AI training initiatives and software engineering data annotation projects, requiring deep understanding of both technical excellence and large-scale operational coordination. Additional achievements include developing comprehensive data visualization systems that elevated SNHU's sustainability initiatives to Silver status and delivering an innovative MVP during my internship with Girls Who Code Leadership Academy hosted by RTX (Raytheon Technologies).
My technical leadership philosophy centers on building scalable systems for both technology and people. With advanced skills in Python, SQL, JavaScript, Java, C/C++, React, and the Microsoft Power Platform, I excel at designing technical architectures while simultaneously developing organizational structures that can manage complex, multi-domain engineering initiatives. My expertise in Agile methodologies and enterprise-scale team leadership enables me to translate strategic technical visions into executable frameworks that drive quality and delivery across diverse technological stacks.
What distinguishes my leadership approach is the ability to architect scalable solutions for both technical and organizational challenges—whether designing quality assurance frameworks for AI training pipelines, developing management structures for cross-stack engineering teams, or establishing data-driven decision frameworks that operate effectively across thousands of contributors. I lead with strategic vision while maintaining operational precision, creating environments where large-scale technical excellence becomes systematically achievable.