Hi, I'm Boosung Kim! I create innovative tech solutions for the world.
I am a Software Engineer specializing in building backend and ML services with about 2 years of experience. I'm currently attending Dickinson College (expected 2025).
About Me
My interest in software development began in college when I decided to create a better college cafeteria interface with Python. Little did I know, balancing API calls and pita 🌮 options would be easier than navigating the complex tastes of college students. Who knew that an extra mayo option could crash a server?
Fast forward to today, I've had the privilege of working at 84 Lumber, university labs, the South Korean Army Intelligence, and a Korean start-up. My main focus these days are building accessible digital services and completing my college diploma (expected May 2025).
Away from my keyboard, I'm all about the outdoors. You'll often find me taking walks 🚶, enjoying hot springs ♨️, or star-gazing in open fields 🌠.
My Skills
Backend
- Python
- JavaScript
- Django
- Flask
- Node.js
- MySQL
- Postgres
- MongoDB
Deep Learning
- PyTorch
- Tensorflow
- Scikit-Learn
DevOps
- Git
- Linux
- Docker
- AWS
- CI/CD
My Experience
84 Lumber (Carlisle, PA)
Solutions Architect Intern (Volunteer)
• Design a service to enhance system performance and scalability
2023 Fall
NAEIL Consulting (Seoul, Korea)
Software Engineering Intern
• Engineered an automated Natural Language Processing translation pipeline of marketing documents using Python, FastAPI, OpenAI API, replacing manual translation and saving $2,000 monthly
2023 Summer
South Korea Army Intelligence (Paju, Korea)
Data Engineer for the Tunnel Neutralization Team
• Implemented a PostgreSQL database system to store reconnaissance mission logs, reducing average data entry time from 50 to 10 minutes per mission through streamlined data management
• Identified and located over 30 North Korean underground activities by processing geological sound data with Fast Fourier Transformation and Spectral Analysis techniques
2021 - 2023
Dickinson College (Carlisle, PA)
Computer Vision Research Intern
• Developed Convolutional Neural Network visualization pipelines using Deconvolution, Filter Visualization, and Activation Maximization techniques written in Tensorflow for easier interpretability
Bioinformatics Research Assistant
• Designed an end-to-end Machine Learning pipeline for analyzing cancer relapse rates based on 20,000 gene map samples using Python scikit-learn
Teaching Assistant
• Data Structure and Algorithms, Intro to Python, Multivariable Calculus (2020 ~ Present)
Resident Advisor
• Freshman Resident Advisor (2020 ~ Present)
2020 - 2021Feature Projects
Frody
Real-time credit card fraud detection system. PennApps 2023 "Most Technically Complex" and "Best Distributed Systems" winner
- Google Cloud
- Tensorflow
- Spring Boot
- React
- Firebase
- dbt
AI Implementations
My Deep Learning paper implementations from scratch.
- Python
- PyTorch
Chess for Army Soldiers
Custom chess enginer made for soldiers without internet access.
- Python
- C++
- MySQL
- Django
Recent Posts
Contact Me
I love meeting new people! Whether you have a question or just want to say hi, please contact me directly at boosung@boosungkim.com or reach out to me on Twitter.