I've worked across pharma & clinical data, HCI research, and health insurance — and I like taking projects end-to-end, from research and design through engineering.
These days I'm focused on accessibility and vision-language models at the MadAbility Lab, shipping a medication-companion app called Pharavo, and supporting CRM data quality at TruStage.
Supporting Salesforce CRM data quality, reporting, and automation initiatives for Filene Research Institute.

Evaluating vision-language models in MR/AR for an HCI accessibility project. Analyzed 500+ Meta Quest apps using a structured classification framework to surface accessibility trends; contributing to a paper in preparation.

Lead operations across a 14-member exec team spanning marketing, comms, and web design. Oversee managers across 3+ local client projects each semester, supporting execution and delivery of human-centered design solutions.

Engineered an end-to-end RAG pipeline using Python, NLP, and semantic search over health insurance documents. Built a Dockerized Weaviate vector DB with Hugging Face embeddings across 20+ document schemas.

Built ETL pipelines in Python and R for 10+ workflows across 3 studies, reducing audit prep time by 45%. Designed 25+ SQL-based automated validation checks; developed 6+ Tableau dashboards for cross-study monitoring.

Co-authored “Exploring Communal Gratitude in Online Communities” (PACMHCI / CSCW 2025). Conducted thematic analysis on user research data and synthesized findings into key behavioral patterns.
Reads prescription labels with Gemini vision and offers multilingual NLP-driven translation to support adherence for ESL patients and older adults.
An AI medication companion built in React Native that reads prescription labels with Gemini vision and offers NLP-driven multilingual translation to support adherence.
Led a team of 8 through a Native Vote + Voting Info redesign — System Usability Score of 91, 23 points above average.
Led a team of 8 through a redesign of Native Vote and Voting Info pages. Achieved a System Usability Score of 91 — 23 points above average.
Production RAG pipeline + Weaviate vector DB with Hugging Face embeddings across 20+ insurance document schemas.
Vector database + semantic search over insurance documents. Delivered the production system to the client.
Built a 2,000+ record dataset across 50+ years of charts; modeled reappearance at 95% classification accuracy.
Built a 2,000+ record dataset from Wikipedia + Spotify + Last.fm; modeled reappearance at 95% classification accuracy.