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#header Leejun Kim
mailto:lkim0402@cs.washington.edu
leejunkim.com
github.com/lkim0402
#section2 Education
#title B.S. Computer Science
#subtitle University of Washington - Seattle
#date Graduation date- June 2026
Relevant Coursework: Deep Learning, Data Structures & Parallelism, Hardware/Software Interface, Foundations of Computing 1 & 2,
Differential Equations, Linear Algebra, Calculus 1-3, Software Design & Implementation
#section1 Experience
#title Research Assistant
#subtitle Makeability Lab @ UW
#date Sept 2024 - Present
- Developing an AR HoloLens system that visualizes sounds through shape-based representations for DHH users, using real-time audio processing in Unity and the GPT API for real-time script generation and compilation.
- Utilizing prompt engineering through usage of multiple Al agents for different tasks in the entire pipeline.
- Collaborating with research team on accessibility features and user experience design.
#title Machine Learning Intern
#subtitle ArtygenSpace
#date Aug 2024 - Dec 2025
- Designed and implemented a RAG pipeline for the award-winning ARpedia project, leveraging LangChain and GPT-4 to enable real-time, context-aware sound effect retrieval from a comprehensive CSV dataset containing over 1,000 audio samples.
- Optimized the system by iteratively testing various LLM models and embeddings.
#title Unity Developer Intern
#subtitle ArtygenSpace
#description
#date Aug 2024 - Dec 2025
- Led development of 3 experimental AR/XR multiplayer game prototypes using Unity, showcasing one at public exhibitions.
- Cosmic Flip: Integrated LIDAR sensor data with Unity for real-time multiplayer card game mechanics.
- BalanceX: Developed Apple Vision Pro Jenga game utilizing spatial computing and XR interaction.
- Wyft: Built an AR scavenger hunt app using QR codes and shared spatial anchors, implemented in public events.
#title Assistant Technician (Part-time)
#subtitle Student Technology Assistance Team @ Pierce College
# date Oct 2022 - June 2023
- Resolved diverse technical issues related to both software and hardware components
- Assisted on average 60+ students per week with 99% accuracy
#section1 Projects
#title StudySnap
#description Al flashcard chrome extension
# date April 2024 - Present
- Developing a Chrome extension that automatically extracts transcripts from YouTube videos and transforms them into Q&A
flashcards using Al summarization using the Gemini API.
- Utilized React and Tailwind for the Ul, Deno and Supabase for the backend
#title Custom CMS/blog
#description leejunkim.com
# date March 2024
- Built a personal blog/CMS for project documentation, essays, and blog posts
- CMS/blog: Next.js(blog) + React(CMS) + TailwindCSS + Vercel deployment
- backend: Express(Node.js) + MongoDB Atlas + Render deployment
- Created admin CMS with TipTap editor supporting rich text/image embeds, added CRUD operations for managing blog posts
- Configured Firebase Auth with role-based access control for content management
- Performance checks with automated QA tests with Cypress, Lighthouse performance, and responsive layout
#title Crown of Persuasion
#description Visual novel game
#date Jan 2025
- A dialogue-driven visual novel where the player takes on the role of a crown with the power to choose the ruler of the kingdom based on persuasion.
- Various routes and ending branches depending on the player's decisions.
- Developed in Unity (C#) for the 2025 Pirate Game Jam, with hand-drawn character art created in Procreate.
#title BinGenius
#description github.com/lkim0402/BinGenius
#date Jan 2024
- Developed a CNN model ‘BinGenius’ that classifies trash (recyclable, general waste, compost).
- Leveraged over 5,000 annotated trash images, fine-tuned a VGG16 model pretrained on ImageNet.
- Utilized Python, HTML, CSS, and a server using Flask and Streamlit for uploading images and providing classification results.
- Achieved 75% accuracy and secured 3rd place in the competition.
#section1 Certifications
#title AWS Cloud Practitioner Certification
# description Validated foundational knowledge of AWS cloud services (EC2, S3, IAM, Lambda) and cloud architecture best practices
# date Apr 2025
#title TensorFlow Certification
#date Sept 2023
# description Hands-on experience building and optimizing CNN, NLP, and time-series models using TensorFlow and Keras
#section2 Skills
Language: Python, Java, C, C#, HTML, CSS, JavaScript, TypeScript
ML/AI: TensorFlow, PyTorch, scikit-learn, Matplotlib, keras, LangChain, HuggingFace, ChromaDB
Tools/Libraries: Linux, Git, LaTex, React, Next.js, Express.js, Node.js, Tailwind CSS, MongoDB