teaching

Teaching experience in AI applications, data science, and programming at POSTECH and Samsung Electronics.

Samsung Electronics Co.

AI Application Specialist (Aug. 2024 - Aug. 2025)

Teaching Assistant

Delivered comprehensive sessions on language model applications and Agentic AI to software developers at Samsung Electronics. Focused on practical implementation of AI technologies in enterprise environments.

Topics Covered:

  • Language Model Applications in Software Development
  • Agentic AI Systems
  • AI Integration in Enterprise Software
  • Practical Implementation Strategies

Level 4 Data Science Expert Program (Jul. 2024)

Teaching Assistant

Led hands-on sessions on Retrieval-Augmented Generation (RAG) for data science professionals, with 90% of participants holding Ph.D. degrees. This advanced program focused on cutting-edge techniques in data science and AI.

Key Highlights:

  • Audience: Ph.D.-level data science professionals (90% of participants)
  • Focus: Advanced RAG techniques and implementations
  • Format: Intensive hands-on workshops
  • Impact: Knowledge transfer to senior data science professionals

POSTECH

Research Project Mentorship (Jun. 2024)

Teaching Assistant

Provided mentorship to undergraduate students Juen Kim and Sohyeon Kim on topics related to Retrieval-Augmented Generation. Successfully guided students through complex research projects with measurable outcomes.

Achievements:

  • Mentored students on advanced RAG techniques
  • Juen Kim received the Popularity Award for their project
  • Successfully translated complex research concepts for undergraduate understanding

Programming & Problem Solving (Feb. 2024)

Teaching Assistant

Assisted with course instruction and student support in fundamental programming and problem-solving techniques. Helped students develop critical computational thinking skills.

Responsibilities:

  • Course instruction assistance
  • Individual student mentoring
  • Problem-solving technique development
  • Programming concept clarification

Teaching Philosophy

My teaching approach emphasizes:

  • Practical Application: Bridging theoretical concepts with real-world implementations
  • Hands-on Learning: Providing extensive practical exercises and projects
  • Industry Relevance: Connecting academic concepts to industry needs
  • Individual Support: Offering personalized guidance to help students succeed

Areas of Expertise

  • Agentic AI
  • Retrieval-Augmented Generation (RAG)
  • Language Model Applications
  • Neural Information Retrieval
  • Multi-modal Question Answering
  • Programming and Algorithm Design