
🦺 6 years of AI Product Operations and Evaluations💻 10 years of Operations Program Management💼 Currently Meta, Previously KPMG
Project
Problem Statement
The original manual process of analyzing Zoom user feedback was error-prone and diverted focus from strategic product recommendations. I share how I worked with Zoom leaders to automate the classification of user feedback, saving nine and a half hours per week and achieving $40,000 in annual cost savings.
Project
Problem Statement
The problem I am solving for is the prevalence of hate speech on platforms such as Twitter (X) and Instagram, training ML models to acheive scale, consistency, and efficiency in content moderation.
Project
Problem Statement
Conducted a full assessment of human factors of Grammarly's AI-powered product -- including task analysis, UX design, privacy, and ethical considerations.
Project
Problem Statement
A walkthough of how to approach ML models to predict for energy output for a power plant. Steps include problem definition, data preparation, building models, and evaluating results.
Project
Problem Statement
Doctors are seeking to improve early detection and accurate diagnosis of pneumonia. Through Data Annotation, the aim is to speed diagnosis by helping in the interpretation of lung X-ray scans.
Meta
AI Launch Manager, Product Data Ops (2022 - Current)Program Manager, Ads Trust & Safety (2018 - 2022)KPMG
Senior Associate, Product Operations (2015 - 2018)
Duke University (2022)
Certificate in AI Product ManagementUniversity of Washington (2015)
BA in Business Admin, Operations and Information Systems Management
Udacity (2024)
Python Programming for AIUdacity (2023)
Nanodegree in AI Product ManagementUniversity of Washington (2022)
Inclusive Product Management AcceleratorScrum.org (2022)
Professional Scrum Product Owner (PSPO)
Professional Scrum Master (PSM)