About Projects Experiences Contacts
headshot
Joanne Kim
github github
University of Florida
May 2025
B.S., Computer Science
B.S., Mathematics
Gainesville, FL
Welcome, I'm Joanne! I'm in my final year of CS & Math at University of Florida. I previously interned at Bank of America (where I worked on security risk management) and GE Appliances (where I worked on ovens). I am also a UF AI Scholar selected to work on computer vision for cancer detection.
I'm familiar with full-stack web development with React and Django, using TypeScript and Python. I also enjoy working in C++ and Java. In my free time, I like to play piano or go for rock climbing.
Resume
Projects
parkmark
ParkMark github
React
Express.js
PostgreSQL
ParkMark is a rating platform for U.S. national parks with interactive Mapbox interface. Easy logins are available through Google OAuth.
crescendo
Crescendo github
Next.js
RAG
Vercel AI SDK
Crescendo is a chatbot that specializes in classical music. It uses rag to reference music analysis articles uploaded in Pinecone to answer user questions.
eatsy-bitsy-kitchen
Eatsy Bitsy Kitchen github
React
FastAPI
OpenAI API
Eatsy Bitsy Kitchen is a recipe generator site that fetches data from ChatGPT and Dall-E.
parkmark
Ray Tracer github
C++
Ray Tracer uses linear algebra and computer graphics concepts to render objects as an image in ppm format.
Experiences
Bank of America
Data Management Intern
Jun 2024 - Aug 2024
Dallas, TX
• Work in the permission access management team to automatically identify toxic combinations posing security risks
• Monitor user access violations of internal applications and raise issues to app managers to remediate data vulnerabilities
• Partner with project managers to formulate annual risk assessments with business specialists of individual risk areas
GE Appliances, a Haier company
Software Engineering Co-op
Jan 2024 - May 2024
Louisville, KY
• Utilize object-oriented C to implement the LED oven Sabbath Mode feature for the production range controller board
• Develop state machines based on module requirements, employing the Model-View-Presenter design pattern
• Write and run integration tests on physical units adhering to Test-Driven Development practices
• Collaborate with cross-functional teams to ensure alignment with user needs and industry standards
University of Florida, College of Veterinary Medicine
Machine Learning Research Assistant
Mar 2023 - Dec 2024
Prof. Jon Kim
• Co-author “Deep Learning-Assisted Canine Lymphoma Classification” submitted to Veterinary Clinical Pathology
• Write PyTorch model & preprocessing code to diagnose lymphoma in ~1000 images with Convolutional Neural Networks
• Identify tumor biomarkers by training classification models and using statistical feature selection methods in scikit-learn
• Leverage high-performance computing for large-scale data processing and optimize model training in medical domains
Contacts
Best way to get in touch with me is through email: joanne.kim0328@gmail.com
Copyright © Joanne Kim
github github