Professional Experience

Undergraduate Researcher

Summary: Conduct research on predictive modeling of aortic root dilation in pediatric patients with cardiovascular diseases

• Construct and annotate echocardiogram datasets to enable automated aortic wall segmentation and diameter measurement in pediatric patients with cardiovascular diseases
• Develop and apply machine learning models to predict progression of aortic root dilation and support classification of disease subtypes
• Collaborate with faculty to integrate data annotation and modeling pipelines, improving scalability and reproducibility of analyses
• Selected for the Purdue Summer Undergraduate Research Fellowship (SURF) program, Summer 2026.

Undergraduate Researcher / Developer

Summary: Collaborated with Mead Johnson in a multidisciplinary team to design and implement a Python-based peptide database + Next.js web app for biomedical research applications

• Identified/integrated data from multiple open-source peptide databases, consolidating structural, biochemical, and trait-specific characteristics into a centralized resource
• Designed database infrastructure initially using PostgreSQL, then migrated to SQLite for improved portability and deployment
• Developed a React web application to be used internally by Mead Johnson researchers
  • Create search interface to query relevant peptides and view summarizing data visualizations
  • Created peptide and protein mappers using LLM integration to complete sequences for unknown results

Developer

• Collaborating with team members to develop technology solutions for Sheltering Wings, a domestic violence support nonprofit organization
• Develop internal web tools for volunteer management, including chore tracking, attendance logging, task assignment, and custom currency distribution
• Contribute to the development of an educational platform delivering courses on domestic violence awareness and resources
• Produce Figma wireframes and mockups to guide UX/UI design and improve accessibility and user engagement
• Apply software engineering best practices to deliver scalable, community-focused solutions

Undergraduate Researcher / Developer

• Conducted research with faculty and peers on applying AI techniques to disaster response, focusing on disaster image classification models using PyTorch
• Implemented and compared multiple ML approaches including Decision Tree, Random Forest, and CNN models for disaster image classification
• Applied HOG and CLIP feature extraction techniques to enhance model performance and analyze image characteristics
• Synthesized academic literature on AI for disaster detection, damage assessment, and emergency response in weekly research meetings to present findings and refine methodologies

Developer

• $1,000 commissioned goal-focused community platform app for client business inquiry with Purdue ACM SIGAPP
• Created the Community Board page using React Native and connected it to AWS backend using Prisma and NodeJS for the backend
• Delivered a scalable mobile application that enables users to create, share, and track personal and community goals

Student Lead

• Deployed alumni networking NextJS-TypeScript web app with Supabase SQL database hosted on Netlify (alumni.gunnhigh.school)
• Delegated tasks and coordinated meetings for development and discussed features with 40+ community members
• Led a student team in creating a platform that connects current students with alumni for mentorship and career guidance

Course Developer, Lead Teacher

• Launched curricula to teach HTML/CSS/JS and React.js for Arusha Girls Secondary School in Tanzania
• Constructed interactive lessons, code-along videos, and virtual live sessions for teaching