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<!DOCTYPE html>
<html lang="en">
<head>
<meta charset="UTF-8">
<meta name="viewport" content="width=device-width, initial-scale=1.0">
<title>Dan Kim | Personal Website</title>
<link rel="stylesheet" href="index.css">
<link rel="stylesheet" href="https://cdnjs.cloudflare.com/ajax/libs/font-awesome/6.0.0-beta3/css/all.min.css">
<script defer src="index.js"></script>
</head>
<body>
<header>
<nav class="navbar">
<div class="navbar-name">
<a href="#" id="home-link">Dan Kim</a>
</div>
<div class="navbar-links">
<a href="#about1" id="about-link">About</a>
<a href="#experience" id="experience-link">Experience</a>
<a href="#projects" id="projects-link">Projects</a>
<a href="#blog" id="blog-link">Blog</a>
</div>
<label class="switch">
<input type="checkbox" id="dark-mode-toggle">
<span class="slider"></span>
</label>
</nav>
</header>
<main>
<section class="hidden" id="about1">
<div class="about1-container">
<div class="about1-content">
<h2>Hi, I'm Dan Kim. 👋🏼</h2>
<div class="text-container">
<p class="text"> </p>
</div>
<div class="links">
<a href="https://github.com/dankim444" target="_blank" rel="noopener noreferrer">
<i class="fab fa-github"></i>
</a>
<a href="https://www.linkedin.com/in/dankim44/" target="_blank" rel="noopener noreferrer">
<i class="fab fa-linkedin"></i>
</a>
</div>
</div>
<img src="images/headshot.jpg" alt="Dan Kim" class="about1-image">
</div>
</section>
<!-- <section class="hidden" id="about2">
<h2>a little about me...</h2>
<div class="about-content">
<div>
<p>
Hi! I'm currently a Junior at Penn pursuing a BSE and an MSE in computer science,
concentrating in AI and minoring in math and data science. Through two summer internships,
I've collaborated with cross-functional teams in agile-scrum environments to continuously
develop and scale applications, integrate features, and build data pipelines. I'm interested in learning
more about different systems, computer security, machine perception, and data science and AI
through academics and internship opportunities.
</p>
</div>
</div>
</section> -->
<section class="hidden" id="experience">
<h2>some experience</h2>
<div class="experience-container">
<div class="experience-content">
<p><strong>Computational Social Science Lab at Penn</strong></p>
<p><strong>Research and Software Development Intern</strong></p>
<p>Jun 2024 - present</p>
<p>
Conduct research under Mark Whiting and Duncan Watts to study human behavior at scale.
Develop and enhance custom full-stack web applications to design and monitor social science experiments.
Write scripts to streamline text processing and translation pipelines.
Presented work at Penn's Fall 2024 Research Conference. Received a grant through Penn's
Undergraduate Research Mentorship Award.
</p>
</div>
<div class="image-container">
<img src="images/csslab-logo.png" alt="CSSLab" class="csslab-image">
</div>
</div>
<div class="experience-container">
<div class="experience-content">
<p><strong>Develop for Good</strong></p>
<p><strong>Full-Stack Developer</strong></p>
<p>Oct 2023 - Aug 2024</p>
<p>
Developed software for two non-profit organizations: LitPath and CW3 Global.
Worked with a team of 6+ student engineers to design and implement features, fix bugs, and maintain codebases.
Collaborated with clients to understand requirements and deliver solutions that met their needs.
</p>
</div>
<div class="image-container">
<img src="images/dfg.png" alt="Develop for Good" class="dfg-image">
</div>
</div>
<div class="experience-container">
<div class="experience-content">
<p><strong>Ruta N Medellin</strong></p>
<p><strong>Software Engineer Intern</strong></p>
<p>Jun 2023 - Aug 2023</p>
<p>
Designed and developed a full-stack internal admin application using the MERN stack,
facilitating role-based access and management of the company's
employee data. Selected for funded international internship through Penn's competitive
Global Research and Internship Program.
</p>
</div>
<div class="image-container">
<img src="images/rutan.webp" alt="RutaN" class="rutan-image">
</div>
</div>
</section>
<section class="hidden" id="projects">
<h2>some projects</h2>
<div class="project-container">
<h3>Phillow</h3>
<div class="links">
<a href="https://github.com/dankim444/phillow" target="_blank" rel="noopener noreferrer">
<i class="fab fa-github"></i>
</a>
</div>
<p>
Deployed and managed a PostgreSQL databased hosted on AWS RDS with 500,000 rows of Philadelphia real-estate
and crime data, integrating it into a full-stack app to improve the home-search experience.
I worked across the entire development lifecycle, including data pre-processing using Pandas, database schema
creation, query optimization, and frontend and API development. This project exercised my skills in relational
database management, query optimization techniques, scalable development, and cloud technologies such as AWS RDS.
</p>
<p><em>PostgreSQL, AWS RDS, Node.js, React.js, Material UI</em></p>
</div>
<div class="project-container">
<h3>PixelPatchwork</h3>
<div class="links">
<a href="https://github.com/dankim444/pixelpatchwork" target="_blank" rel="noopener noreferrer">
<i class="fab fa-github"></i>
</a>
</div>
<p>
Led the development of a collaborative digital art platform with 180+ users from Amazon MTurk,
enabling them to iteratively create and modify AI-generated images. I built key features such
as an image modification pipeline using base64 encoding and the DALL-E API,
a voting mechanism to surface high-quality outputs as part of quality control, and an NLP
pipeline to analyze features contributing to successful prompts. This project honed my skills
in creativity, system design, statistical analysis, and cloud technologies such as AWS S3.
</p>
<p><em>Flask, MySQL, AWS S3, OpenAI API, HTML5, CSS, Javascript</em></p>
</div>
<div class="project-container">
<h3>Gratify - iOS Application</h3>
<div class="links">
<a href="https://github.com/dankim444/gratify" target="_blank" rel="noopener noreferrer">
<i class="fab fa-github"></i>
</a>
</div>
<p>
Collaborated in a team of 3 to build a journal app where users can rate and log their
gratitude and visualize their progress through weekly, quarterly, and yearly reports.
Led backend development, integrating Core Data for data persistence and a Network Manager
to handle GPT requests and responses, enabling personalized AI summaries of collected entries.
</p>
<p><em>Swift, SwiftUI, OpenAI API</em></p>
</div>
<div class="project-container">
<h3>RAG Chatbot</h3>
<div class="links">
<a href="https://github.com/dankim444/q-and-a-assistant" target="_blank" rel="noopener noreferrer">
<i class="fab fa-github"></i>
</a>
</div>
<p>
Engineered a Q&A Assistant that allows users to extract information from various media sources such
as PDFs, audio files, YouTube videos, and static web pages.
Implemented an NLP pipeline leveraging document parsing, web scraping, embeddings, and indexing
with a vector database.
</p>
<p><em>Python, Langchain, OpenAI embeddings, Beautiful Soup</em></p>
</div>
<div class="project-container">
<h3>Fraud Detection in Financial Transactions</h3>
<div class="links">
<a href="https://github.com/dankim444/Fraud-Detection-Classification" target="_blank" rel="noopener noreferrer">
<i class="fab fa-github"></i>
</a>
</div>
<p>
Developed a machine learning pipeline for credit card fraud detection using feature engineering,
PCA for dimensionality reduction, and SMOTE to address imbalanced data, achieving 98% accuracy and
90% recall with an XGBoost model.
</p>
<p><em>Pandas, Scikit-learn, Seaborn</em></p>
</div>
</section>
<section class="hidden" id="blog">
<h2>some blogs</h2>
<p><strong>More coming soon!</strong></p>
<div class="blog-cards">
<a href="pages/blog/blog1.html">
<div class="blog">
A Summer of Experimentation: Exploring the Intersection Between Social Science and Technology
</div>
</a>
</div>
</section>
</main>
<footer>
<p>© 2025 Dan Kim Personal Website.</p>
</footer>
</body>
</html>