I
Synchrony Financial
Software Development Intern
May 2026 — Present
Built internal software, automation, and analytics tools to improve
engineering efficiency and visibility across Synchrony. Developed a Spring Boot backend
and dashboard to surface company-wide GitHub Copilot usage, productivity, and adoption
metrics, deployed scheduled data synchronization jobs on Pivotal Cloud Foundry using
internal APIs, and created a Vue.js and Python application that allowed non-technical
users to run internal scripts through a simple self-service interface.
ML Data Operations Intern
May 2026 — Aug 2026
Developed machine learning and data solutions to improve how
customer feedback was classified, analyzed, and used across Synchrony. Built NLP
models and cloud-based processing pipelines for large-scale survey data, helping
improve sentiment classification, enrich customer datasets, and uncover behavioral
insights for customer experience and support teams.
II
Children's National Hospital
Contract Fullstack Software Engineer
Aug 2025 — May 2026
Contributed to the development of a healthcare-focused software and
hardware system designed to support patient monitoring, real-time communication,
and clinical usability. Worked across the full technology stack while collaborating
with engineers and stakeholders to translate medical device requirements into practical,
secure, and scalable application features.
III
University of Maryland — College Park
Research Assistant — HCI Lab
Aug 2025 — May 2026
Supported human-computer interaction research focused on improving how
researchers structure, interpret, and analyze complex qualitative data. Combined
literature review, system design, and machine learning-oriented workflows to help
develop tools and frameworks that make analytical processes more efficient,
explainable, and research-ready.
IV
University of Minnesota — Twin Cities
Research Assistant — Visual Intelligence Lab
Dec 2024 — Aug 2025
Contributed to interdisciplinary HCI research at the intersection of machine learning, visualization,
and collaborative software development. Helped build research systems that made neural network behavior
more accessible to users through interactive interfaces, while participating in a team-based engineering
workflow for experimental research prototypes.