| Role | AI Engineer |
| Specialty | LLM-based Service Development & Automation |
| Education | Ajou University (e-Business + AI Convergence) |
| Languages | Korean (Native), English (Fluent), Spanish (Middle) |
| Currently Seeking | AI/ML Engineer, LLM Service Engineer, Data Engineer |
FilledU - 100% cost reduction via LLM automation
TurbineCrew - Built IoT → AWS → ML data pipeline
SnackCast - AI-powered news podcast generation service
Motto: "Transforming AI models into measurable business impact"
Hands-on Experience:
Gemini API - Core technology for FieldU content generation pipeline
Perplexity API - News collection system for SnackCast
OpenAI GPT-4 - Rapid project prototyping and experimentation
Claude API - High-quality text generation and analysis
Naver Clova TTS - Voice synthesis integration for SnackCast podcast
Ollama - Local LLM inference for tool development
💡 Key Capabilities:
Multi-LLM Integration & Orchestration - Combining multiple LLM APIs into cohesive workflows
Content Generation Pipelines - Building large-scale automation systems with quality control
RAG (Retrieval-Augmented Generation) - Search-based answer generation with vector databases
Cost Optimization & Token Management - Production environment efficiency and monitoring
Production API Design - Stable and scalable service architecture
Cloud Experience:
GCP: Cloud Run and Cloud Storage for SnackCast production deployment
AWS: IoT Core and Lambda for TurbinCrew real-time data pipeline
Vector Databases: Chroma, Pinecone (for RAG systems)
| Project | Role | Key Achievement | Tech Stack |
|---|---|---|---|
| FilledU 📚 | AI Service Contract | 100% cost reduction in content generation | Gemini API, LangChain, Python |
| TurbineCrew ⚡ | AI Service Contract | Built IoT → Cloud → ML pipeline | AWS IoT Core, Lambda, Python |
| SnackCast 📻 | Lead Developer | AI news-to-podcast automation | FastAPI, GCP, Multi-LLM APIs |
📚 FilledU - Educational AI Startup (Contract Position)
🎯 Challenge: Manual content creation was time-consuming and costly
💡 Solution: Built automated LLM-based content generation pipeline
📊 Results:
Achieved 100% cost reduction through complete automation of content creation workflows
Delivered 50% time savings in content production process through optimized AI pipeline
Built scalable multi-step AI workflow with integrated quality control mechanisms
🔧 Technical Highlights:
Implemented Gemini API integration with custom prompting strategies for domain-specific content
Utilized LangChain for sophisticated multi-step content refinement and validation
Designed automated quality assurance pipeline ensuring consistent output standards
⚡ TurbineCrew - Energy Tech Startup (Contract Position)
🎯 Challenge: Real-time wind power prediction from IoT sensors
💡 Solution: End-to-end data pipeline from sensors to ML models
📊 Results:
Successfully integrated AWS IoT Core → Lambda → ML models for end-to-end data flow
Deployed real-time data processing and prediction system for wind power forecasting
Contributed technical expertise to 3 MOUs signed at Vietnam ELECS 2024 exhibition
🔧 Technical Highlights:
Architected IoT sensor data collection and preprocessing infrastructure
Designed and implemented AWS cloud infrastructure for scalable ML deployment
Delivered international business technical presentations to Southeast Asian partners
📻 SnackCast - AI News Podcast (Capstone Project)
🎯 Challenge: Automate entire flow: news curation → script generation → podcast creation
💡 Solution: Multi-API orchestration pipeline
📊 Results:
Completed production deployment on Google Cloud Platform infrastructure
Achieved end-to-end automation pipeline: News gathering → Script generation → Audio synthesis
Successfully integrated multi-modal AI components combining text and voice technologies
🔧 Technical Highlights:
Utilized Perplexity API for intelligent news gathering and curation
Leveraged Gemini API for context-aware podcast script generation
Integrated Naver Clova TTS for natural-sounding Korean voice synthesis
Built FastAPI backend deployed on GCP Cloud Run for scalable service delivery
| Category | Achievement |
|---|---|
| 🎯 Competitive Programming | Active on Baekjoon Online Judge |
| 🤖 ML Competitions | Open Ko-LLM Leaderboard Season 3 Participant |
| 📝 Technical Writing | LinkedIn AI content creator (AI Agents, RAG, LLM trends) |
| 👥 Leadership | President of Friends Cultural Exchange Club 4 → 130 members growth during COVID-19 |
| 🌍 International Experience | Lived in Mexico (2002-2004), Argentina (2011-2014) |
| 🎤 Voice Acting | Dubbing & voice acting experience |
🔍 AI/ML Engineer
🔍 LLM Service Engineer
🔍 Data Engineer
🔭 Building production-ready LLM applications with measurable ROI and business impact
🌱 Exploring advanced RAG techniques and multi-agent systems for complex workflows
💬 Contributing to Korean AI community through technical content and knowledge sharing
🎯 Bridging the gap between cutting-edge AI research and real-world business value
Ajou University (Feb 2026)
B.S. in e-Business (Major) | B.S. in AI Convergence (Double Major)