BOSUNG.H
PORTFOLIO
About Me
01
Hi!
My name is Bosung Hwang.
I have plenty of experience in full stack development, as well as
app development experience for my startup company. My hobbies are
working out and playing basketball or badminton! I am always
looking to expand his network, so feel free to connect and send a
message!
Education
University of California, Berkeley
Bachelor of Arts in Data Science, Senior
Expected Graduation Date: Dec 16, 2025
Cumulative GPA: 3.71/4.00
Relavant Coursework
Computer Science & Engineering
CS61A: Program structures
CS61B: Data structures
CS61C: Computer Architecture
CS170: Efficient Algorithms and Intractable Problems
EECS127: Optimization Models in Engineering
Machine Learning & AI
CS189: Introduction to Machine Learning
Info159: Natural Language Processing
Math110: Linear Algebra
Data Science & Engineering
Data100: Principles & Techniques of Data Science
Data101: Data Engineering
Data140: Probability of Data Science
My Works
02Campass
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
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.
Wikipedia Talk-Page Comment Classification
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%
Yelp Data Analysis
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
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 Cubstart App Competition.
Ehyun Elementary School English Musical Website
Ehyun Elementary School's English Musical Club is a state funded club that has 50+ members every semester. I built the club’s first official website using a variety of modern tools and libraries to support the club’s activities and showcase its work.
Experience
03Software Engineering Intern
NoteBar, NY
Full Stack & ML Development
I worked across the frontend and backend to improve the
reliability and user experience of the platform. On the frontend,
I built responsive UIs with React, TypeScript, and TailwindCSS,
including authentication, navigation, and note composition flows
for a clean, professional interface. On the backend, I developed
FastAPI services on Google Cloud Run to integrate our ML
concept-classifier and designed a Firestore → Pinecone → frontend
pipeline that made new notes searchable in real time with average
latency of under 900ms. I also worked within a Dockerized
environment and extended the existing CI/CD pipeline with GitHub
Actions to automatically retrain and redeploy our ML
classifiers.
Research Assistant
Sky Computing Lab, Berkeley,CA
Full Stack Development
I contributed to the development of Chatbot Arena by implementing
backend optimizations and improving the UI/UX, which enhanced user
engagement by 20%. I also supported the Arena-Hard benchmarking
pipeline by integrating backend LLM evaluations with frontend
components to enable real-time comparisons. In addition, I
developed data collection APIs and incorporated user interaction
metrics into a live benchmarking dashboard built with Next.js.
Throughout the project, I conducted design and code reviews and
debugged performance issues across API endpoints to ensure
reliability and efficiency.
Software Engineering Intern
Karrot, South Korea
Search & Discovery Team
I 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%. I also analyzed more
than one million activity logs to identify user behavior patterns
that informed personalization models. In addition, I contributed
to frontend development by fixing layout issues and refining
styling for the new Karrot homepage prototype.
Data Science Internship
San Diego County Taxpayers Association
I automated the extraction of public expenditure data from
government websites, which significantly reduced manual effort. I
also created reports on housing, taxation, and budget allocation
to support data-driven policy recommendations.
Undergraduate Course Staff/Tutor
UC Berkeley, CA
Principles & Techniques of Data Science (Data 100)
I led weekly discussion sections with 30+ students and held office
hours and group tutoring sessions