RESUME / CV

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Contact

• Name : Choi JaeHun

• Email : [e-mail]

• LinkedIn: linkedin.com/in/choijaehun

• Address: Seoul, Geomcheongu

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About

I am currently working as a AI Research Engineer. I have a strong interest to followings:

• Implementing hyper-personalized assistants using RAG, Agents, and Prompt Engineering.

• Extracting hidden information from user instruction.

• Exploring and incorporating linguistic features and characteristics into prompt design, applying them across various sub-modules of RAG.

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Career

AI Research Engineer : BrainCrew Inc. _{: June. 2025 - Present}

• [GoYoung Technology] Project : Figma 2 Unity : July. 2025 ~ Present

  • Not Yet

• [IBK System] Project : RAG System : July. 2025 ~ Present

  • Not Yet

• [HSAD] Project : Intent moderating agent bot : June. 2025 ( 2 weeks )

  • Developed database handling and logging systems

  • Designed and implemented a prompt evaluation framework

AI Researcher : InterX. Co. _{: Apr. 2024 - June. 2025}

• Responsible for overall tasks in the RAG Parts of the Gen.AI Team.

• Developed the Assistant Module parts from the Gen.AI Server Solution. - Nov. 2024 - Mar. 2025

  • Presented the Gen.AI Server Solution at the Hannover Messe event : https://www.etnews.com/20250404000323

  • Designed and implemented an Advanced RAG Pipeline optimized for the service environment.

  • Implementing and using Langflow, a no‑code–based pipeline, along with Langfuse, a tracking platform.

  • Performed prompt engineering necessary for the development of the RAG pipeline.

  • Implemented access control and security features by restricting Retriever document access based on user permissions.

  • Developed a parameter-optimization pipeline for each chunking strategy to achieve optimal retrieval performance.

  • Apply prior research on the most effective chunking strategies.

  • Apply prior research on evaluation process, result of chunking strategy.

  • Apply prior research on chunk configurations for the best possible retrieval results.

  • Apply prior research on Text2SQL and Text2Cypher for integrating legacy ERP/MES systems.

  • Apply prior research on generating RAG evaluation datasets and establishing evaluation metrics for domain-specific data.

• PoC Project with HD미포조선. - July. 2024 - Sep. 2024

  • Proposed methods for utilizing document metadata in the design of a Advanced RAG-based Chatbot Assistant project for the shipbuilding domain.

  • Designed and implemented a 2-Stage Retriever method to accommodate the requirement of periodic partial updates to document content.

  • Proposed and applied a chunk augmentation approach, table serialization, to accurately retrieve the given table.

  • Conducted a retrieval evaluation based on user scenarios provided by the PoC client, achieving 95% recall.

Data Engineering Internship : Baroon System & KINS, Daejeon, Korea - July. 2018 - Aug. 2018

• Assisted in the development of client projects using Python and Java.

• Identified and fixed bugs within the software to improve user satisfaction.

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Education

Bachelor's Degree in Computer Science, Hannam University, Daejeon : Graduated: Feb 2023

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Skills

• Programming Languages : Python

• Library : Numpy, Pandas, Matplotlib

• Frameworks : fastAPI, Lagnchain, Langgraph, LlamaIndex, Langflow

• Database : Faiss, ChromaDB, Postgresql, ParadeDB, Milvus, Qdrant

• Tools : Git, GitLab, Visual Studio Code, Docker, PyCharm, Slack, Notion

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References

• Langchain OpenTutorials Contributors : Jan 2025 ~ Feb 2025

  • LangChain Global Tutorial Contribution with followings:

    • Original Tutorial : JsonOutputParser

    • New Tutorial : Text2SQL

    • New Tutorial : Synthetic Dataset Generation

• Certificate of completion obtained for the LangGraph course accredited by LangChain Academy. : Jan 2025

• Langchain Documents Contributors : Jan 2024

  • Acknowledged an error in the example for RetryParser in the official documentation due to a version update of Langchain.

  • Submitted a PR request to change from pydantic import BaseModel, Field to from langchain_core.pydantic_v1 import BaseModel, Field.

  • The issue was raised in Langchain's official repository under DOC: Error in Retry Parser example documentation #16698.