Welcome in! I'm Dohyun Ko. I worked at a startup for two years, taking the lead on various tasks across front-end, back-end, app development, automation, and machine learning. Afterward, I worked in an AI research lab where I developed data collection tools and wrote a paper on UX. Since I have often worked in environments with a shortage of developers, I always prioritize productivity and ease of maintenance. I aim to enhance productivity by creating monorepos and libraries, and I strive to write code that is easy for others to understand using atomic patterns and Storybook.
For more information, refer to my website: dohyun.is-a.dev
Feel free to contact me if you want to collaborate on a project or chat about technology and development!
Here are some topics and technologies I'm currently interested in:
- Making some thin-client service with 🧪 Elixir
- Open-world or simulation game development
- React: ★★★★★
- TypeScript: ★★★★☆
- JavaScript: ★★★★☆
- HTML/CSS: ★★★★☆
- Python: ★★★☆☆
- NestJS: ★★☆☆☆
- FastAPI: ★★☆☆☆
- Flutter: ★★☆☆☆
- C++: ★★☆☆☆
- Kotlin: ★☆☆☆☆
- Docker: ★☆☆☆☆
- Rust: ★☆☆☆☆
- Assembly: ★☆☆☆☆
- Check my website!
- 2024 KPMG Ideathon: 🥉 3rd place: Developed Docuflow, a platform implementing VCS for document work and streamlined-ai-search using LLM.
- Tech Stack: React, TypeScript, Tailwind CSS
- Kaggle - Regression with a Mohs Hardness Dataset: 4th place: Achieved 4th place in Kaggle's Mohs hardness prediction competition.
- Tech Stack: Python, Scikit-learn, Pandas
- 2023 Creative Space G A.I. & IoT Makerthon: 🥈 2nd place: Developed an AI assistant combining GPT-4 API and Raspberry Pi.
- Tech Stack: Python
- 2023 Net Challenge: 🥈 Silver Award: Developed a service that analyzes CCTV data with AI to detect threats in real-time.
- Tech Stack: React, TypeScript, Mapbox, PWA
- React-Atoms: A personal library of frequently used React components published on npm.
- Tech Stack: React, TypeScript, RollUp, Storybook, npm
- Dutch: OOP Final Project: A Dutch pay platform developed entirely in C++ for both frontend and backend.
- Tech Stack: C++, WebAssembly, Emscripten
- Speaking Melona (FE BE): A service that assigns personas to convenience store foods and generates conversations between them when a barcode is scanned.
- Tech Stack: React, TypeScript, FastAPI, PostgreSQL