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mylearnfb's Introduction

Dohyun Ko | 고도현

🧶 Introduction

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!

🌱 Current Interests

Here are some topics and technologies I'm currently interested in:

  • Making some thin-client service with 🧪 Elixir
  • Open-world or simulation game development

🌟 Skills

  • React: ★★★★★
  • TypeScript: ★★★★☆
  • JavaScript: ★★★★☆
  • HTML/CSS: ★★★★☆
  • Python: ★★★☆☆
  • NestJS: ★★☆☆☆
  • FastAPI: ★★☆☆☆
  • Flutter: ★★☆☆☆
  • C++: ★★☆☆☆
  • Kotlin: ★☆☆☆☆
  • Docker: ★☆☆☆☆
  • Rust: ★☆☆☆☆
  • Assembly: ★☆☆☆☆

🎓 Education & Experience

🏛️ Project Museum

  • 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

mylearnfb's People

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