AICA Government AI Datacenter Program
Government AI datacenter GPU infrastructure program. Led end-to-end from proposal writing and research execution to quarterly reporting and outstanding performance recognition.
2024.01 — 2026.03 BHSN AI Engineer (Program Lead)
GPU Infrastructure Government Program H100 Outstanding Performance
Overview
Led the full lifecycle of the AICA (AI Innovation Center Alliance) government AI datacenter program — from proposal writing → infrastructure setup → research execution → quarterly reporting → outstanding performance recognition.
End-to-End Program Operations
Proposal Writing & Application
- Authored the legal AI GPU compute program proposal
- Designed research goals, expected outcomes, timeline, and budget
- 2024 initial application and 2026 re-application preparation
Infrastructure Setup
- Resolved H100×8 node resource allocation, handled offline paperwork
- Directly configured firewall/NAT settings
- Designed architecture connecting AICA vLLM serving to internal aihub/LiteLLM chain
Research Execution
- 2024: Legal-domain LLM training, semantic search model, document structure analysis (H100×8, A100)
- 2025 H1: Multimodal legal reasoning LLM Agent (H100×8)
- 2025 H2: Legal-domain LLM-as-a-Judge auto-evaluation system (A100×8)
Performance Reporting
- Authored and submitted quarterly performance reports
- Organized commercialized services sections and compiled metrics
- Coordinated team role assignments and managed final submissions
Outstanding Performance Recognition
- 2026 Q1: Selected for 2025 Outstanding Achievement Collection — research recognized by government evaluation
Key Research Achievements
- Legal semantic search model: 90%+ accuracy, 70% latency reduction
- Korean contract review accuracy 22% ahead of OpenAI models
- Document structure analysis F1 score 92%
- 3 government PoC projects: National Human Rights Commission, KARSO, KEPCO KPS
Tech Stack
H100 GPU, A100 GPU, PyTorch, Transformers, vLLM, LiteLLM, FAISS, FastAPI, Python