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Kimbomyeong/README.md

Typing SVG



๐Ÿ™‹โ€โ™‚๏ธ About Me

class Bomyeong:
    name     = "๊น€๋ณด๋ช… (Kim Bomyeong)"
    location = "๊ฒฝ๊ธฐ๋„ ์„ฑ๋‚จ์‹œ"
    contact  = "kbm4189@naver.com"

    focus = [
        "Backend System Design",
        "Cloud Infrastructure",
        "LLM ยท NLP ยท Evaluation Pipeline",
    ]

    principle = {
        "์•ˆ์ „์„ฑ  > ์ •ํ™•๋„",
        "์‹œ์Šคํ…œ ์„ค๊ณ„ > ๋ชจ๋ธ",
        "ํ‰๊ฐ€ ์ฒด๊ณ„ > ์„ฑ๋Šฅ",
    }

    def say_hello(self):
        print("๋‹จ์ˆœํžˆ ๊ธฐ๋Šฅ์„ ๊ตฌํ˜„ํ•˜๋Š” ๊ฒƒ๋ณด๋‹ค,")
        print("๋ฌธ์ œ๋ฅผ ์–ด๋–ค ๊ตฌ์กฐ๋กœ ํ’€์–ด์•ผ ์•ˆ์ •์ ์œผ๋กœ ์šด์˜๋˜๋Š”์ง€ ๋จผ์ € ๊ณ ๋ฏผํ•ฉ๋‹ˆ๋‹ค.")
        print("LLM/NLP ํ”„๋กœ์ ํŠธ์—์„œ๋Š” ๋ชจ๋ธ ์„ฑ๋Šฅ๋งŒ์ด ์•„๋‹ˆ๋ผ")
        print("์ •ํ•ฉ์„ฑ ๊ฒ€์ฆ, ์ถœ๋ ฅ ์ œ์–ด, ํ‰๊ฐ€ ์ฒด๊ณ„๋ฅผ ํ•จ๊ป˜ ์„ค๊ณ„ํ•ฉ๋‹ˆ๋‹ค.")

๐Ÿ› ๏ธ Tech Stack

๐Ÿ’ป Languages

Java Python

โš™๏ธ Backend

Spring Boot FastAPI Django

๐Ÿง  AI / ML

PyTorch HuggingFace OpenAI LangChain RAG

โ˜๏ธ Infra / DB

AWS Docker Kubernetes Terraform MySQL DynamoDB

๐Ÿ”ง Tools

Git Notion Jira


๐Ÿš€ Projects

๐Ÿ”๏ธ ํ•˜์ดํ‚น ํ”Œ๋ž˜๋„ˆ ย ย  ๐Ÿ† ์บก์Šคํ†ค ๋Œ€์ƒ

GPS ๊ธฐ๋ฐ˜ ๋“ฑ์‚ฐ ๊ฒฝ๋กœ ๊ธฐ๋กยท๋ถ„์„ ๋ฐ ์•ˆ์ „ ๊ด€๋ฆฌ ์„œ๋น„์Šค ย |ย  2024.03 โ€“ 2024.11

Spring Boot FastAPI MySQL AWS

๐Ÿ”— Team Repo ย 


๐Ÿง‘โ€๐Ÿ’ผ ITeaMoa ย ย 

ํ”„๋กœ์ ํŠธยท์Šคํ„ฐ๋”” ๋งค์นญ ํ”Œ๋žซํผ ย |ย  *2024.06 โ€“ 2025-06

AWS EKS Fargate DynamoDB Terraform CloudFront ALB

๐Ÿ”— Team Repo ย 

๐Ÿ’Š EZPill

์ž„์‚ฐ๋ถ€ ๋งž์ถค ์˜์–‘์ œ ์ถ”์ฒœ ยท Safety Gate ยท RAG ์ฑ—๋ด‡ ์˜์–‘๊ด€๋ฆฌ ํ”Œ๋žซํผ ย |ย  2023.09 โ€“ 2023.12

Django Flask LangChain FAISS GPT-4

๐Ÿ”— Team Repo ย 

๐ŸŽฎ LLM ํŽ˜๋ฅด์†Œ๋‚˜ ๊ธฐ๋ฐ˜ ์ธํ„ฐ๋ž™ํ‹ฐ๋ธŒ ๊ฒŒ์ž„ ย ย  ๐Ÿ† NLP ๋ถ€ํŠธ์บ ํ”„ ์ตœ์šฐ์ˆ˜์ƒ

ํŒ์ •ยทํ•ด์„ยท์ƒ์„ฑ์„ ๋ถ„๋ฆฌํ•œ ๋ฉ€ํ‹ฐ NPC ๋Œ€ํ™” ์—”์ง„ ย |ย  2026.01 โ€“ 2026.02

PyTorch BERT Gemma 2 SFT/LoRA

๐Ÿ”— Team Repo ย 

๐Ÿ“Š AI ์‘๋‹ต ํ’ˆ์งˆ ์ž๋™ํ‰๊ฐ€

9๊ฐœ ํ’ˆ์งˆ ๊ธฐ์ค€ ์ž๋™ ํŒ์ • + OOD ์•ˆ์ „์„ฑ ๊ฒ€์ฆ ํ‰๊ฐ€ ๋ชจ๋ธ ย |ย  2026.01

PyTorch RoBERTa ELECTRA Focal Loss W&B

Team Repo ย 

๐Ÿ“ AI ๊ฐ•์˜ ๋ถ„์„ ๋ฆฌํฌํŠธ ์ƒ์„ฑ๊ธฐ ย ย  ์ง„ํ–‰ ์ค‘

๊ฐ•์˜ ํ’ˆ์งˆ ํ‰๊ฐ€์šฉ Hybrid AI MVP ์„ค๊ณ„ ย |ย  2026.03 โ€“ ์ง„ํ–‰ ์ค‘

Python Pandas OpenAI Prompt Engineering


๐Ÿ’ผ Experience

๊ธฐ๊ฐ„ ๊ธฐ๊ด€ ์—ญํ• 
2025.10 โ€“ 2025.12 ๋งํ‚ค์ง€๋žฉ AI ํ•™์Šต๋ฐ์ดํ„ฐ ๊ตฌ์ถ• ๋ฐ ํ’ˆ์งˆ ํ‰๊ฐ€
2026.03 โ€“ 2026.04 ๋ฉ‹์Ÿ์ด์‚ฌ์ž์ฒ˜๋Ÿผ ์‹ค๋ฌดํ˜• NLP ๊ณผ์ œ ํ”„๋กœ์ ํŠธ
๐Ÿ“Œ ๋งํ‚ค์ง€๋žฉ ์ƒ์„ธ๋ณด๊ธฐ

์นด์นด์˜ค ์‡ผํ•‘ kanana AI ์„œ๋น„์Šค ์ ์šฉ LLM ๋ฐ์ดํ„ฐ ๊ตฌ์ถ•

  • SQL/Python ํ™œ์šฉ ์ˆ˜์ฒœ ๊ฑด ์ƒํ’ˆ ๋ฐ์ดํ„ฐ ์ถ”์ถœ ๋ฐ ์ „์ฒ˜๋ฆฌ
  • Ground Truth ๋ฐ์ดํ„ฐ์…‹ ๊ตฌ์ถ•: 86% ์™„๋ฃŒ์œจ ๋‹ฌ์„ฑ (56/65๊ฐœ ์†์„ฑ)
  • ํ•œ์ค„์†Œ๊ฐœ ์ƒ์„ฑ LLM ํ”„๋กฌํ”„ํŠธ ์—”์ง€๋‹ˆ์–ด๋ง (198๊ฐœ ์ƒํ’ˆ ํ‰๊ฐ€)
  • ํ’ˆ์งˆ ํ‰๊ฐ€ ํ”„๋กฌํ”„ํŠธ ์ตœ์ ํ™”: ๋งŒ์กฑ๋„ 63.6% โ†’ 75% ๊ฐœ์„  (11.4%p โ†‘)
๐Ÿ“Œ ๋ฉ‹์Ÿ์ด์‚ฌ์ž์ฒ˜๋Ÿผ ์ƒ์„ธ๋ณด๊ธฐ

์‹ค์ œ ๊ฐ•์˜ ๋ฐ์ดํ„ฐ์™€ ๋‚ด๋ถ€ ํ’ˆ์งˆ ๊ธฐ์ค€์„ ํ™œ์šฉํ•œ ๊ฐ•์˜ ๋ถ„์„ ๋ฆฌํฌํŠธ ์„ค๊ณ„ยท๊ตฌํ˜„ (4์ฃผ)

  • 15๊ฐœ STT ๊ฐ•์˜ ์Šคํฌ๋ฆฝํŠธ, 30ํ–‰ ๋ฉ”ํƒ€๋ฐ์ดํ„ฐ, 18๊ฐœ ํ’ˆ์งˆ ํ‰๊ฐ€ ํ•ญ๋ชฉ ๊ตฌ์กฐ ๋ถ„์„
  • ๊ทœ์น™ ๊ธฐ๋ฐ˜ feature ์ถ”์ถœ + LLM ํ‰๊ฐ€ ๊ฒฐํ•ฉํ•œ Hybrid AI MVP ์ •์˜
  • EDA ยท ๋ฐ์ดํ„ฐ ์ •ํ•ฉ์„ฑ ๊ฒ€์ฆ ยท ํ‰๊ฐ€ ํ•ญ๋ชฉ ๋งคํ•‘ ยท ๋ถ„์„ ์„ค๊ณ„ ๋ฌธ์„œ ์ž‘์„ฑ

๐ŸŽ“ Education

๊ธฐ๊ฐ„ ๊ธฐ๊ด€ ๋‚ด์šฉ
2019.03 โ€“ 2025.02 ๋‹จ๊ตญ๋Œ€ํ•™๊ต ์†Œํ”„ํŠธ์›จ์–ดํ•™๊ณผ ํ•™์‚ฌ ์กธ์—…
2023.09 โ€“ 2023.12 TABA ์•„์นด๋ฐ๋ฏธ ๋น…๋ฐ์ดํ„ฐ ๋ถ„์„ ๋ฐ AI SW์œตํ•ฉ๊ฐœ๋ฐœ์ž ์–‘์„ฑ๊ณผ์ • ์ˆ˜๋ฃŒ
2024.06 โ€“ 2024.09 AWS & GBSA ํด๋ผ์šฐ๋“œ/AI ์ดˆ๊ธ‰ ๊ณผ์ • ์ˆ˜๋ฃŒ
2025.03 โ€“ 2025.09 ์ „๊ตญ ๋Œ€ํ•™์ƒ ์—ฐํ•ฉ ๋น…๋ฐ์ดํ„ฐ ํ•™ํšŒ ๋ฐ์ดํ„ฐ ๋ถ„์„ ยท ๋จธ์‹ ๋Ÿฌ๋‹ ์ดˆ๊ธ‰ ๊ณผ์ • ์ˆ˜๋ฃŒ
2025.12 โ€“ 2026.02 ๋ฉ‹์Ÿ์ด์‚ฌ์ž์ฒ˜๋Ÿผ NLP ๋ถ€ํŠธ์บ ํ”„ ๋”ฅ๋Ÿฌ๋‹ ๊ธฐ์ดˆ ~ NLP ์ด๋ก  ยท ์‹ค์ „ ํ”„๋กœ์ ํŠธ ์ˆ˜ํ–‰

๐Ÿ† Awards

๐Ÿฅ‡ ์ˆ˜์ƒ ๊ธฐ๊ด€ ๋‚ ์งœ ํ”„๋กœ์ ํŠธ
์บก์Šคํ†ค ๋Œ€์ƒ ๋‹จ๊ตญ๋Œ€ํ•™๊ต 2024.11.28 ํ•˜์ดํ‚น ํ”Œ๋ž˜๋„ˆ
NLP ๋ถ€ํŠธ์บ ํ”„ ํ”Œ๋Ÿฌ์Šค ์ตœ์šฐ์ˆ˜์ƒ ๋ฉ‹์Ÿ์ด์‚ฌ์ž์ฒ˜๋Ÿผ 2026.02.27 LLM ํŽ˜๋ฅด์†Œ๋‚˜ ๊ธฐ๋ฐ˜ ์ธํ„ฐ๋ž™ํ‹ฐ๋ธŒ ๊ฒŒ์ž„

๐Ÿ’ญ Dev Philosophy

๐Ÿ”’ Safety over Accuracy โ€” ์ •ํ™•๋„๋ณด๋‹ค ์•ˆ์ „์„ฑ. ํ‹€๋ฆด ์ˆ˜ ์žˆ๋Š” ์‹œ์Šคํ…œ๋ณด๋‹ค ์•ˆ์ „ํ•˜๊ฒŒ ์‹คํŒจํ•˜๋Š” ์‹œ์Šคํ…œ์„ ์„ค๊ณ„ํ•ฉ๋‹ˆ๋‹ค.
๐Ÿ—๏ธ System over Model โ€” ๋ชจ๋ธ๋ณด๋‹ค ์‹œ์Šคํ…œ. ์ข‹์€ ๋ชจ๋ธ ํ•˜๋‚˜๋ณด๋‹ค ๊ฒ€์ฆ ๊ฐ€๋Šฅํ•œ ๊ตฌ์กฐ๋ฅผ ์šฐ์„ ํ•ฉ๋‹ˆ๋‹ค.
๐Ÿ“ Evaluation over Performance โ€” ์„ฑ๋Šฅ๋ณด๋‹ค ํ‰๊ฐ€ ์ฒด๊ณ„. ์ธก์ •ํ•  ์ˆ˜ ์—†์œผ๋ฉด ๊ฐœ์„ ํ•  ์ˆ˜ ์—†์Šต๋‹ˆ๋‹ค.
๐Ÿ” Define the Problem First โ€” ๋ฌธ์ œ ์ •์˜ ๋จผ์ €. ๊ตฌํ˜„๋ณด๋‹ค ๋ฌธ์ œ์˜ ๊ฒฝ๊ณ„๋ฅผ ๋จผ์ € ๊ทธ๋ฆฝ๋‹ˆ๋‹ค.


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