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AI/ML Intern | XRI Global, Remote

• Developed a semi-automated ETL system that reports on the current landscape of datasets for machine translation
• Created a quality management process that ensures extracted data is unique, consistent, and complete; and contribute to community resources (i.e., Hugging Face)
• Identified candidate languages for neural machine translation by researching state-of-the-art modeling for low-resource languages and cross-referenced supported languages with large amounts of training data
• Fine-tuned lightweight NMT systems for low-resource languages unsupported by current engines using efficient and cost-effective techniques (e.g., LoRA)

Research Assistant

• Served as research assistant working on the development of novel datasets for the consequences of subjective views and natural language understanding of rhetorical questions.
• Prepared revisions to annotation guidelines in order to broadly define the task for large language models (LLMs)
• Participated in annotation effort and resolved ambiguities for Cohen’s kappa statistic during weekly discussions.

Community Health Analyst | WellMed Medical Management

• Identified high-risk patients for health opportunities by compiling data and characterizing patients without a primary care provider for downstream outreach
• Standardized community health pipeline to target patients post-hospitalization and support patients by providing access to social and medical resources.
• Improved data quality for patient variables (e.g., existing primary physician) by submitting approvals on behalf of patients with undetermined information
• Impacted the well-being of patients positively by simple explanations of coverage and healthcare outcomes

M.S. in Human Language Technology

B.A. in Linguistics

MT4All on Hugging Face

• Submit pull requests to update language information (ISO codes) and data attributes for machine translation datasets
• Preprocess unloaded datasets by correcting file errors or start a community discussion

Bridging the digital divide Where do we stand?

• Language Technologies for All (LT4All 2025): Advancing Humanism through Language Technologies