About Me
I am passionate about using research design, cognitive theory, and creative problem-solving to help build new things in a way that makes sense to people. I love a challenge and any opportunity to put my generative and critical thinking skills to work!
Design Strategy offers a never-ending supply of interesting questions that satisfy my urge to learn new things and better understand how humans conceive of the world around them. Design physically shapes our minds/brains and, as someone who is fascinated by human cognition, I am irresistibly drawn to research that informs and refines the objects that shape the future of our mental, digital, and physical world.
Education
As a graduate student (Aug. 2019- May. 2021), one of my academic goals was to apply an empirical understanding of human cognition to create and enhance digital interfaces that facilitate informal and formal learning, development, satisfaction, and performance. Being a student at the height of the 2019 COVID pandemic presented me with a unique opportunity to investigate the role of sustained, remote learning on cognitive fatigue and explore opportunities for design improvements therein.
Work Experience
As a User Experience Developer at one of the leading semi-conductor companies in the world, Qualcomm, I gained three years of experience applying design principles to optimize workstreams.
Over the past four years as Senior Data Product Manager at Meta, I have established myself as a driving force behind AI-powered analytics tools that democratize data access and enable evidence-based decision-making at enterprise scale. My work sits at the intersection of product management, data analytics, and knowledge systems. My current focuses are:
AI-Powered Analytics Innovation: I serve as the product strategy lead for an AI analytics assistant that enables natural-language querying of complex workforce data. I have spearheaded the platform's migration to an advanced AI architecture, overseeing data foundations, knowledge base development, and engagement measurement. The tool enables real-time insights through an intuitive interface, dramatically reducing time-to-insight for business stakeholders and establishing a new paradigm for Data-as-Service within the People organization.
Data Governance & Knowledge Systems: As the product manager for Meta's enterprise analytics knowledge engine, I shape the strategic direction of centralized data cataloging and context layer development over an 18+ month initiative. My work on certified data context and metadata management ensures that users across the organization access trusted, well-documented metrics—reducing ambiguity and improving analytical consistency at scale. Most recently, I have transformed the product strategy to focus on optimization for consumption by AI (via direct integrations with Skills and Semantic Models), and partnered with our research scientist and engineering teams to drive offline evals that proves its benefits in AI readiness hill climbing.
Cross-Functional Enablement: I partner extensively with engineering, design, and analytics stakeholders to define metric taxonomies, establish permission frameworks, and design access control systems. My ability to translate complex data requirements into clear specifications has established me an essential bridge between these technical and business teams.
Technical Platform Development: Beyond strategy, I have remained deeply technical and retained my curiosity for learning new skills. I am often accountable for work that veers towards data science, including defining OKRs and implementing measurement frameworks to track success. In the age of AI-nativeness, this has also taken the form vibe coding end-to-end prototypes to expedite time-to-market, full-stack development of products that ensuring data consistency across multiple surfaces, without sacrificing security or performance, and embedding listening mechanism to better measure product success.
Community Building & Thought Leadership: A visible contributor to the broader AI Readiness frontier, my documentation of the AI analytics hill climbing on the workstreams I lead—including challenges overcome and future vision—has become a reference point for teams pursuing similar initiatives across the enterprise.
Outside of my current role, some of my current interests are:
Re-thinking the design of ‘basic’ applications used in everyday life to better meet the attentional and memory needs of the user.
Leveraging Nudge Theory to align product design with business goals.
Exploring how assessment models for informal learning might be leveraged to design, and redesign, platforms to encourage an exploratory approach to learning.
Identifying how pro-social digital environments facilitate curiosity and collaborative problem solving.