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Acacian/README.md

Acacian

Backend engineer โ€” reliable, secure infrastructure for AI systems
distributed reliability ยท data consistency ยท runtime correctness, security & cost accuracy for LLM / agent platforms

๐ŸŒ Based in South Korea โ€” open to global roles (remote or relocation)

๐Ÿ‡ฐ๐Ÿ‡ท ํ•œ๊ตญ์–ด ์†Œ๊ฐœ

๋Œ€๊ทœ๋ชจ ์„œ๋น„์Šค ํ™˜๊ฒฝ์—์„œ ์‹ ๋ขฐ์„ฑ๊ณผ ๋ฐ์ดํ„ฐ ์ •ํ•ฉ์„ฑ์„ ๊ณ ๋ คํ•œ ๋ฐฑ์—”๋“œ๋ฅผ ์„ค๊ณ„ํ•˜๊ณ ,
LLM/์—์ด์ „ํŠธ ํ”Œ๋žซํผ์˜ ๋Ÿฐํƒ€์ž„ ์ •ํ™•์„ฑยท๋ณด์•ˆยท๋น„์šฉ์„ ๋‹ค๋ฃน๋‹ˆ๋‹ค. ๋ฆฌ๋ชจํŠธยท์ด์ฃผ ๋ชจ๋‘ ๊ฐ€๋Šฅํ•˜๋ฉฐ ๊ธ€๋กœ๋ฒŒ ํฌ์ง€์…˜์„ ์ฐพ๊ณ  ์žˆ์Šต๋‹ˆ๋‹ค.


๐Ÿ›ก Built โ€” Aegis, runtime security for AI agents

PyPI ยท github.com/Acacian/aegis

Solo-designed Python library that enforces guardrails, a policy engine, and audit logging on every LLM call and tool execution โ€” at the CI/CD layer. Auto-instruments 12 AI frameworks (LangChain, CrewAI, OpenAI, Anthropic, LiteLLM, Google ADK โ€ฆ).

flowchart LR
  C["LLM call / tool exec"] --> AE["Aegis"]
  AE --> GR["Guardrails"]
  AE --> PO["Policy engine"]
  AE --> AU["Audit log"]
  AE --> D{"allow / block"}
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Integrates as a third-party guardrail provider for Pydantic AI and LiteLLM ยท listed in awesome-mcp-servers and Awesome-LM-SSP.

๐Ÿ”ง Contributing to AI-infra OSS

Fixing real correctness & cost bugs in the tools I use in production:

  • litellm โ€” bill xAI from its reported cost instead of stale recomputation (#36281)
  • Spring AI โ€” DeepSeek tool-call content=null fallback (#3817) ยท RedisVectorStore BuilderCustomizer (#3809)

๐Ÿ— Current work

In production today โ€” backend for an enterprise LLM gateway / AI-security platform (Soosan): proxy request lifecycle, DLP and guardrail enforcement, cross-provider correctness, policy & audit paths, load and reliability testing.

๐Ÿ“ฆ Also shipped

CandyPod โ€” backend engineer on a mobile matching app, live on the App Store and Google Play.

๐ŸŽฏ Focus

distributed reliability ยท fault isolation & recovery ยท data consistency ยท LLM / agent runtime security ยท cross-provider correctness & cost accuracy ยท AI-native system design

๐Ÿ’ผ Experience

  • Soosan (current)
  • Koosstech โ€” Backend & DevOps (E2E ownership)
  • MementoAI โ€” Backend (intern)
  • ROK Air Force โ€” mission-critical systems operations

Earlier: PassionPay โ€” MSA fintech payments platform (lead), payment-service architecture & consistency design.

โœ๏ธ Writing ยท ๐Ÿ“ซ Contact

Tech blog โ†’ https://victorica.tistory.com/  ยท  ๐Ÿ“ง koo9811@naver.com  ยท  ๐Ÿ’ผ linkedin.com/in/otkling

Pinned Loading

  1. aegis aegis Public

    LLM guardrails & prompt injection detection for Python. Auto-instruments LangChain, CrewAI, OpenAI, LiteLLM + 8 more frameworks. PII masking, toxicity detection, policy CI/CD. One line, zero code cโ€ฆ

    Python 15 4

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  5. Stock Stock Public

    Kafka ๊ธฐ๋ฐ˜ ๋น„๋™๊ธฐ ๋ฉ”์‹œ์ง•๊ณผ Redis ์บ์‹ฑ์„ ์ ์šฉํ•ด ๋Œ€๊ทœ๋ชจ ํŠธ๋ž˜ํ”ฝ ์ฒ˜๋ฆฌ๋ฅผ ์‹คํ—˜ํ•œ ์ฃผ์‹ ํ† ๋ก  ๊ฒŒ์‹œํŒ ๋ฐฑ์—”๋“œ ํ”„๋กœ์ ํŠธ

    Java