"μΌλ¨ μλνλ ν 리컨μ λ§μΈλ" Developer
| λΆμΌ | μΈλΆ κ΄μ¬μ¬ | μ€λͺ |
|---|---|---|
| π€ AI/ML Engineering | Large Language Models, Graph Neural Networks | νμ₯ κ°λ₯ν AI μλΉμ€ κ΅¬μΆ λ° μ°κ΅¬ |
| βοΈ Cloud Computing | AWS, Cloud Native Development | νλ‘λμ μμ€μ λ°°ν¬ κΈ°μ ν₯μ |
| βΏ Accessibility Technology | μκ°μ₯μ μΈμ μν μ± μ κ·Όμ± | ν¬μ©μ κΈ°μ κ°λ° |
| π Data Analysis | κ³ κ° νλ λΆμ, μΈμ¬μ΄νΈ λμΆ | λ°μ΄ν° κΈ°λ° μμ¬κ²°μ |
| μ°λ | λν/νλ‘μ νΈλͺ | μ£Όμ /λΆμΌ | μμ λ΄μ | κΈ°κ΄ |
|---|---|---|---|---|
| 2025 | λμ x μΉ΄μ΄μ€νΈ AI Competition | Unlocking Future Sales & Demographics | λμ (1μ) | λμ, μΉ΄μ΄μ€νΈ |
| 2025 | λΉκ·Ό Builder's Camp | λΉκ·Ό λΉλμ€ μΊ ν | νΉλ³μ(2μ) | λΉκ·Όλ§μΌ |
| 2025 | μμΈνΉλ³μ λμ§νΈ 곡κ°μ 보 νμ© κ³΅λͺ¨μ | GIS κΈ°λ° λμλ°μ΄ν° νμ© | μ°μμ | μμΈνΉλ³μ |
| 2025 | KHUDA X Lovable λ°μ΄ν°ν€ | μμ°¨(Residual) κΈ°λ° μμ¬ κ²½λ‘ μΆμ² μλΉμ€ Re:Zip | λμ (1μ) | KHUDA, Lovable |
| 2025 | νκ΅μ 보과νν KSC | μκ°μ₯μ μΈ μ± μ κ·Όμ± μλν μ°κ΅¬ | ν¬μ€ν° μΈμ λ°ν | Korea Software Congress |
| 2025 | SWμΈμ¬νμ€ν°λ² | κ²½ν¬λ λν νλ‘μ νΈ μΆμ | λν μΆμ | κ²½ν¬λνκ΅ |
| 2024 | νλλͺ¨λΉμ€ X KHUDA ML νλ‘μ νΈ μ»¨νΌλ°μ€ | κ°λ°β’λ°μ΄ν° μ§κ΅° λ©΄μ μ§λ¬Έ μΆμ² μμ€ν | 1μ | νλλͺ¨λΉμ€, KHUDA |
| 2024 | CAAS νμ μ | μ§μ κ°λ₯ν λ¬Όλ₯ μμ€ν μ€κ³ | λμ (300λ§μ) | CAAS |
| 2024 | KHreative StartUP Dream 2.0 | ν΄λ¦¬μ¨ μ μΉ μν΅ νλ«νΌ | νμ μ | κ²½ν¬λνκ΅ |
| 2024 | KVS μ‘μ±μ¬μ 10κΈ° | μ€ννΈμ μ‘μ± | μ λ§ν μμ (500λ§μ) | κ²½ν¬λνκ΅ |
| 2024 | KHU Valley Program 12κΈ° | LOST BEAN 컀νΌλ° μ ν | μ₯λ €μ | κ²½ν¬λνκ΅ |
| 2024 | Sesac ν΄μ»€ν€ | νμ΄λ Έν°(μ²μλ κΈμ΅ AIμ±λ΄) | λ³Έμ 34μ | Sesac |
| 2024 | κ³ μ©λ Έλ 곡곡λ°μ΄ν° 곡λͺ¨μ | μκ²©μ¦ μ 보 λ° νμ΅ κ΄λ¦¬ μ± | μ₯λ €μ | κ³ μ©λ ΈλλΆ |
| 2024 | μμΈμ λΉ λ°μ΄ν°μΊ νΌμ€ 곡λͺ¨μ | μ ν곡μ μ μ§ λΆμ λ° μ΅μ μ§μ μΆμ² | μ°μμ | μμΈμ |
| 2024 | κ²½λ¨ μ μ¬μ λ°κ΅΄ μμ΄λμ΄ κ³΅λͺ¨μ | λμμ°λ¬Ό μ ν΅ νλ«νΌ | μ°μμ | κ²½μλ¨λ |
| 2024 | μΆ©λΆ κ³΅κ³΅λ°μ΄ν° νμ© μ°½μ κ²½μ§λν | 곡곡λ°μ΄ν° κΈ°λ° μ°½μ | λ³Έμ μ§μΆ | μΆ©μ²λΆλ |
| 2023 | μ°½μ λΉ λ°μ΄ν° 곡λͺ¨μ | Graph κΈ°λ° λμμ°λ¬Όλ₯ νλ«νΌ | λμ (1μ) | μ°½μμ |
| 2023 | KVS μ‘μ±μ¬μ 8κΈ° | λ¬λ ₯ν μΈμΌμ€ νμ΄νΌ | μ±μ₯ν μμ (300λ§μ) | κ²½ν¬λνκ΅ |
| 2023 | KHU Valley Program 10κΈ° | μνΉν리λ°μ΄ ν΅ν© νλ«νΌ | μ₯λ €μ (50λ§μ) | κ²½ν¬λνκ΅ |
| 2023 | μμΈνΉλ³μ μ 곡μ νμ°½μ₯ | μ¬νλ΄μ¬ | νμ°½μ₯ | μμΈνΉλ³μ |
| μ°λ | νλ‘μ νΈλͺ | μ£Όμ /λΆμΌ | μ€λͺ | λ§ν¬ |
|---|---|---|---|---|
| 2025 | λ§νμ‘° (Matajo) | ν΄λΌμ°λ λ€μ΄ν°λΈ μλΉμ€ | μΉ΄μΉ΄μ€ν ν¬ λΆνΈμΊ ν νλ‘μ νΈ | λμ€μ½°μ΄μ |
| 2024 | LAID | λΌμΈλλ‘μ μλν | KHUDA 6κΈ° Deploy μΈμ νλ‘μ νΈ | GitHub |
| 2024 | LINK | λ§ν¬ μ μ₯ μλν | KHUDA 6κΈ° Deploy μΈμ νλ‘μ νΈ | GitHub |
| 2024 | Naver AI RUSH 24 | AI μλΉμ€ | λ€μ΄λ² ν΄λΌμ°λ μ£Όκ΄ μ°λ²μλ νλ | GitHub |
| κΈ°μ | μ°λ | νΈλ/μν | νλ λ΄μ© |
|---|---|---|---|
| 8κΈ° | 2025 | λμΈνλ ₯λΆμ₯, NLP νΈλμ₯ | μμ°μ΄μ²λ¦¬ νΈλ μ΄μ λ° λμΈνλ ₯ λ΄λΉ |
| 7κΈ° | 2024 | λ°μ΄ν° μκ°ν μ€ν°λμ₯, νμ₯ | λ°μ΄ν° μκ°ν μ€ν°λ μ΄μ λ° λμ리 μ΄κ΄ |
| 6κΈ° | 2024 | Deploy Session, νμ₯ | λ°°ν¬ μΈμ μ΄μ λ° λμ리 μ΄κ΄ |
| 5κΈ° | 2023 | CVνΈλ, ν보λΆμ₯, λ°μ΄ν°λΉμ§λμ€ νΈλμ₯ | μ»΄ν¨ν°λΉμ νΈλ, ν보, λ°μ΄ν°λΉμ§λμ€ νΈλ μ΄μ |
| 4κΈ° | 2023 | κΈμ΅νΈλ, ν보λΆμ₯ | κΈμ΅νΈλ μκ° λ° ν보 λ΄λΉ |
| 3κΈ° | 2022 | κΈμ΅νΈλ μκ° | κΈμ΅νΈλ μ°Έμ¬ |
| κΈ°μ | μ°λ | μν | νλ λ΄μ© |
|---|---|---|---|
| 8κΈ° | 2025 | μ΄μμ§ | μμΈ/κ²½κΈ°κΆ λνμμ°ν©μ½λ©κ΅μ‘λ΄μ¬λμ리 μ΄μ |
| 7κΈ° | 2024 | νμ₯ | μμΈ/κ²½κΈ°κΆ λνμμ°ν©μ½λ©κ΅μ‘λ΄μ¬λμ리 μ΄κ΄ |
| 5,6κΈ° | 2023 | νμ₯ | μμΈ/κ²½κΈ°κΆ λνμμ°ν©μ½λ©κ΅μ‘λ΄μ¬λμ리 μ΄κ΄ |
| 2,3,4κΈ° | 2022 | 곡λνμ₯ | μμΈ/κ²½κΈ°κΆ λνμμ°ν©μ½λ©κ΅μ‘λ΄μ¬λμ리 곡λμ΄μ |
| 1κΈ° | 2021 | 곡λνμ₯ | μμΈ/κ²½κΈ°κΆ λνμμ°ν©μ½λ©κ΅μ‘λ΄μ¬λμ리 창립 λ° κ³΅λμ΄μ |
| μ°λ | μ‘°μ§/νλ‘κ·Έλ¨ | μν | νλ λ΄μ© |
|---|---|---|---|
| 2025 | Perplexity Campus | Strategist | μΊ νΌμ€ μ λ΅κ° νλ |
| 2025 | μ΄λ°μΌλ¦¬, APEC | μν¬ν°μ¦ | κ΅μ ν΅μνμ μν¬ν°μ¦ |
| 2024 | μμΈ λλΆκ³ λ±νκ΅ | CA κ°μ¬ | κ³ κ΅ λμ리 μκ³ λ¦¬μ¦ 2λ° κ°μ |
| 2024 | κ²½κΈ°λμ νν¬λΌ | κΈ°νμ§ | AI ν΄λμ€λ£Έ κΈ°ν λ° μ§ν |
- μκ°μ₯μ μΈμ μν μ± μ κ·Όμ± ν΄ (μ μμ€, λ Όλ¬Έ μμ±μ€)
- κ°μΈλ³ μμν¨μ λͺ¨λΈλ§μ ν΅ν λ§μΆ€ μ¬ν μ μ± μΆμ² μμ€ν (μ΅μΈμ, μμ£Όν, μ μ μ§)
- GraphNN κΈ°λ° MLLM μμ μμ align κΈ°μ
- GPTμΌ λ΄ μ¬κ³ ν¨ν΄μ μλ €μ€
- λ§λ μλ₯΄κΈ° μ΅μ λΉμ© - μ κ·Όλ² λΉκ΅ λΆμ
- μ¬μ κ°μ - DFS vs BFSλ‘ νμ μκ³ λ¦¬μ¦ λΉκ΅νκΈ°
- [ν΅μ¬ νλ₯ /ν΅κ³] Analysis of Variance (ANOVA λΆμ°λΆμ)
- [KHUDA ML κΈ°μ΄ λ₯λ€μ΄λΈ] Week 03
- Python GUIλ₯Ό μ€ννμΌλ‘ λ§λ€μ΄λ³Έ νκΈ°
- νμ΄μ¬ λΌμ΄λΈλ¬λ¦¬(Cython,NetworkX,Louvain,Python-TSP| μ±λ₯ μ΅μ νμ κ·Έλν μκ³ λ¦¬μ¦
- π BFS vs DFS
- MOVIE SHELF | AIλ‘ μνν리 μλΉμ€ λ§λ€μ΄λ³Έ νκΈ°
- Lovart AIμ LLMμ μ¬κ³ λ©μ»€λμ¦
- κ²½ν¬λνκ΅ μ°μ κ²½μ곡νκ³Ό (2021.03 ~ 2026.02)
- μμ°λμ°κ³ λ±νκ΅ (2017 ~ 2019)
μλ‘μ΄ λμ κ³Ό νμ μ νμν©λλ€
I'm a Pelican Mindset Developer π¦ who believes in "Just Do It First!" - diving into challenges with enthusiasm and learning through action.
- Cloud Native Development: Improving production-level deployment skills
- AI/ML Engineering: Building scalable AI services with research experience
- Open Source: Contributing to meaningful projects
- Research: Working as external researcher in Materials Science & IAI Lab
Strong: Python, React, Flutter, AI/ML
Learning: AWS, TypeScript, System Architecture
- π» AI/ML Engineering: Large Language Models, Graph Neural Networks
- βοΈ Cloud Computing: AWS, Cloud Native Development
- π₯οΈ System Architecture: Microservices, Distributed Systems
- βΏ Accessibility Technology: Inclusive app development for visually impaired users
- π Data Analysis: Customer behavior analysis, insight extraction
Open to collaborations, hackathons, and meaningful tech discussions!
For detailed experience and projects, please refer to the Korean version above.