Project

RAG LLM Chatbot Development

• Developed a Retrieval-Augmented Generation (RAG) chatbot using LangChain, LLaMA2, Chroma, Streamlit, enabling offline query resolution based on PDF documents without requiring an internet connection.

• Github: ###(link) 

Cost Optimization of Aircraft of Datalink Communication - Jeju Air
2022- 2024

• Background: Rapid increase in datalink communication costs along with Covid-19 reopening necessitated a thorough review of cost structures and usage trends to find out potential cost-saving measures

• Task: Analyzed the existing rate structure and contract details, researched market prices and conditions, applied regression models to usage and cost data to expect future usage, examined the network framework, removed redundant services, and leveraged economies of scale to scale to lower unit costs

• Outcome: Achieved a 29% reduction, saving over $200,000 annually
  
  

Scheduling System Examination  - Jeju Air
2022 - 2023

• Background: Existing scheduling system* involved considerable manual work and faced issues with fairness and efficiency.
  * crew rostering and scheduling system, flight operation system, and flight scheduling system

• Task: Identified key problems with priority, researched various system vendors and solutions, coordinated with vendors through meetings, emails, and documents (RFI, RFP), defined the project scope, and calculated ROI and budget

• Outcome: Initiated the project, integrating partial rostering and scheduling functions into the crew scheduling system 

Safety Management System (SMS) Project - Jeju Air
2023 (6 months)

• Background: The increase in flight operations required a systematic safety management method in accordance with ICAO ANNEX 19, Doc 9859 is needed as the number of flights increased. 

• Task: Identified requirements and conducted storyboard

• Outcome: Implemented a comprehensive safety management system and obtained higher safety level at MOLIT evaluation

Optimization of the Number of Self Bag Drop (SBD) in Incheon International Airport Aeronautical Information System Project - 1st Prize, Fall Conference, Korean Society of Industrial and Systems Engineering

2016

• Background: Incheon International Airport introduced Self Bag Drop machines and planned to increase their number. My team aimed to determine the optimal number of SBDs within a critical range considering user demand and  costs

• Task: Collected field data, performed statistical analysis (ANOVA and t-test), used the AutoMod simulation tool to assess scenarios, and identified significant differences within the critical range, recommending the optimal number of SBD machines based on demand

• Reference: presentation,  article