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🚀 About Me

• 🧠 AI Researcher & MLOps Engineer at Lingora AI Innovation Team
• 🎓 Industrial Management Engineering graduate from Myongji University (Summa Cum Laude)
• 🔬 Former Undergraduate Researcher at Computational Data Science Lab, Myongji University
• 🌟 Founder and President of Data Science Club 'FoM'
• 💼 Ex-AI Researcher and Prompt Engineer at Market Designers

📊 About Me

• 🎂 Born on January 19, 1999
• 📧 Email: heonyus@gmail.com
• 🪖 Military Service: 2020.04 - 2021.10 (Auxiliary Policeman, Seoul Metropolitan Police Agency, 3rd Mobile Unit)

🎓 Education

• 2024.08: MJU, Graduated Summa Cum Laude in Industrial Management Engineering
• 2022.03: MJU, Transferred to Industrial Management Engineering
• 2019.02: DIMA, Withdrew from Acting Major
• 2018.03: DIMA, Entered Acting Major
• 2017.02: Gwan-ak High School, Graduated
• 2014.03: Gwan-ak High School, Entered

💻 Tech Stack

🏆 Awards & Achievements

🥇 Summa Cum Laude in Industrial Management Engineering (2024.08)	🏅 National Assembly Public Data Competition - Commendation Award (2024.07)
🎖️ Myongji University On-site Training Review Competition Grand Prize (2024.01)	🏆 Myongji University Capstone Design Graduation Project Grand Prize (2023.06)
🌟 Myongji University Data Analytics Competition Excellence Award (2022.12)	💡 Myongji University Learning Community Scholarship (2022.06)

🚀 Featured Projects

🧠 Personal Knowledge Model for Learner Persona Understanding

• 🛠 Technologies: GPT-3.5, Personal Knowledge Management, Python, MLOps
• 🌟 Key Achievements:
  • Implemented knowledge extraction module with GPT-3.5 API
  • Optimized personal knowledge management using multi-domain approach
  • Enhanced AI tutoring personalization through effective knowledge integration

💬 Open-end Chat Modifier Model

• 🛠 Technologies: GPT-3.5, AWS SageMaker, Python, Docker
• 🌟 Key Achievements:
  • Achieved efficient context handling in long AI conversations
  • Deployed model with 1.7 seconds response time using AWS SageMaker
  • Implemented CI/CD pipeline for continuous model updates

📜 National Assembly Bill Proposal System

• 🛠 Technologies: NLP, Python, API Development
• 🌟 Key Achievements:
  • Automated bill proposal process using NLP techniques
  • Enhanced legislative efficiency by integrating existing laws
  • Successfully deployed and tested within the National Assembly

🔍 Entity Recognition Search Model & LLMOps System

• 🛠 Technologies: SBERT, GPT-4 API, LLMOps, Docker, AWS
• 🌟 Key Achievements:
  • Developed robust entity recognition model with SBERT
  • Improved word recommendation accuracy by over 75%
  • Integrated LLMOps for automated deployment and scaling

📈 GitHub Stats

🤝 Connect with Me

"Exploring human essence and creating Übermensch through AI."