Lead Product Designer at Meta

Owned the sound, voice, and interaction design of a spatial audio interface for friend-finding navigation on Ray‑Ban Meta AI glasses; led iterative prototyping and evaluative testing in Ableton, Unity, and JavaScript; delivered a fully functional prototype vetted by Meta scientists and executives; contributed two foundational research principles to Reality Labs' audio research for XR/wearable development.

Lead Product Designer at Meta (Master's Capstone)

Led sound, voice, and interaction design for a spatial audio interface enabling friend-finding navigation on Ray-Ban Meta AI glasses. Directed iterative prototyping and evaluative testing in Ableton, Unity, and JavaScript, delivering a fully functional prototype vetted by Meta scientists and executives. Uncovered two foundational research principles informing Reality Labs' audio research and guiding future XR/wearable development.

Senior Product Analyst at Brown Brothers Harriman & Co.

Led strategy and delivery of digital solutions across 15 internal stakeholding teams, producing rollout plans and UI mockups. Supported 14,000 client users through UX writing and content design of guides, notifications, announcements, FAQs, and demos. Established the project roadmap and coordinated cross-team development sprints as product owner of an account-selection plugin, driving adoption and scaling usage. Conducted contextual inquiry studies to improve user experience in Investor Services applications.

Systems Analyst at Brown Brothers Harriman & Co.

Streamlined client service workflows by leading requirements gathering and documenting data reporting projects. Mitigated cybersecurity risks by auditing web infrastructure with Python scripts to analyze, document, and categorize 300 high-risk websites.

Composition & Sound Engineer at Freelance

Provided composition and sound engineering services across freelance projects, collaborating with musicians and clients to craft immersive audio experiences.

Machine Learning Researcher at Middlebury College

Designed and trained a TensorFlow neural network to classify classical music across seven historical periods using frequency spectrograms, supporting improved music categorization and pattern recognition. Improved existing classification accuracy by 270% by building Python pipelines to automate data preprocessing, feature extraction, and model training iterations.

Biometrics Summer Researcher at Kean University

Summer research in biometrics.