About Projects Experiences Contacts
headshot
Joanne Kim
github github
University of Florida
May 2025
B.S., Computer Science
B.S., Mathematics
Dallas, TX
Welcome, I'm Joanne! I'm a recent graduate from University of Florida, with degrees in CS & Math. 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 crochet and 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