Hi!
My name is Bosung Hwang.
I love playing sports and working out.
University of California, Berkeley
Bachelor of Arts in Data Science, Senior
Cumulative GPA: 3.71/4.00
Computer Science & Engineering
CS61A: Program structures
CS61B: Data structures
CS61C: Computer Architecture
CS170: Efficient Algorithms and Intractable Problems
EECS127: Optimization Models in Engineering
Math110: Linear Algebra
Machine Learning & AI
CS189: Introduction to Machine Learning
Info159: Natural Language Processing
Data Science & Engineering
Data100: Principles & Techniques of Data Science
Data101: Data Engineering
Data140: Probability of Data Science
Campass is a cross-platform campus discovery app that helps students find and explore places in real time. I launched the MVP with 25+ UC Berkeley students, building an API-driven ingestion pipeline and a Firestore-backed REST layer aggregating data on 500+ campus locations. I integrated an AI-powered campus agent with schema validation, OpenAI function-calling, and robust error handling to support real-time Q&A. In preparation for expansion, I positioned Campass for a multi-campus rollout through the UC Berkeley SkyDeck 2025 cohort.
SnackHub is a gamified food ordering app designed to optimize
cooking operations for small businesses while making the customer
ordering experience more engaging through gamified and social
features. Qualified for the Naver D2 Startup Factory First Round,
I led a 3-person team to build core functionalities including a
reward-based ordering system, interactive UI, and personalized
restaurant recommendations. I developed REST APIs on Google App
Engine to manage user data and order flows, and piloted the app
with a local restaurant, gathering feedback that led to a 60%
improvement in user experience.
Built an end-to-end NLP pipeline to categorize editorial feedback
on Wikipedia talk-page comments into three tiers: minor edits,
moderate suggestions, and major disputes. Fine-tuned a BERT model
in PyTorch, achieving 87% test accuracy and outperforming baseline
methods by 22%
Analyzed real-world Yelp data to uncover insights into business
attributes, user behavior, and review patterns. Developed queries
in PyMongo to filter businesses, aggregate reviews, and extract
nested fields from JSON-like documents for efficient analysis
Boba Time is an iOS application developed using Swift and SwiftUI/UX. The app features an engaging series of quizzes that utilize a custom algorithm to recommend a personalized boba drink. Users can save their favorite boba selections to a remote database powered by Firebase. The application was recognized as the winner of the UC Berkeley App Cubstart Competition.
Ehyun Elementary School's English Musical Club is a state funded club that has 50+ members every semester. I created their official website using various tools and libaries.
UC Berkeley Sky Computing, CA
- Contributed to the development of Chatbot Arena through backend
optimizations and improvements of UI/UX, enhancing user engagement
by 20%
- Supported the Arena-Hard benchmarking pipeline by connecting
backend LLM evaluations with frontend components for real-time
comparisons
- Developed data collection APIs and integrated user interaction
metrics into a live benchmarking dashboard using Next.js
- Conducted design and code reviews, and debugged performance
issues across API endpoints
Karrot - Search & Discovery Team, South Korea
- Extended SQL-backed API endpoints to retrieve user interaction
data for search and filter features, improving data delivery
efficiency on internal tools by over 30%
- Analyzed 1M+ activity logs to identify user behavior patterns
for personalization models
- Contributed to frontend layout fixes and styling adjustments for
the new Karrot homepage prototype
- Collaborated with engineers on full-stack feature rollouts,
debugging issues across the data and UI layers
San Diego County Taxpayers Association
- Automated extraction of public expenditure data from government
websites, reducing effort
- Created reports for data-driven policy recommendations on
housing, taxation, and budget allocation
Principles & Techniques of Data Science (Data 100), UC
Berkeley,CA
- Led weekly discussion sections with 30+ students and held office
hours and group tutoring sessions