Industry:
Medicine and Biology
Headquarters:
Seoul
Title:
AI Engineer
Company:
KB Securities
Company Industry:
Financial Services
Company Website:
kbsec.co.kr
Company Linkedin:
linkedin.com/company/kb-securities
Company Size:
1001-5000
Current Job Duration:
1 yr
Country:
South Korea
Languages:
English, 日本語, 한국어
Work Experience:
Title: KB Securities
Company: Kb Securities
Company URL: https://www.linkedin.com/company/kbsecurities/
Industry: Financial Services
Company Size: 1001-5000
Location: None
Country: None
Employment Type: None
Start At: 01-2025
Ends At: Present
Description: [AI Tech Department]
Project Leadership:
Leading enterprise GenAI pipelines for financial services (stock analysis, SQL automation, AI-driven insights), focusing on modular, scalable, real-time architectures.
Backend Engineering (FastAPI, Docker, AWS):
Designing FastAPI-based multi-agent APIs (LLM, SQL Agent, Knowledge Agent). Managing Docker/ECS deployments with Bedrock, Anthropic, OpenAI integrations. Operating secure, high-concurrency async streaming inference services.
LLM Integration & Optimization:
Building LLM agent frameworks for intent classification, SQL generation, semantic validation, ReAct-style tuning. Applying advanced prompt engineering for financial domains. Overseeing multi-vendor LLM integration with fallback and guardrail handling.
RAG System Expansion (OpenSearch):
Developing hybrid RAG pipelines with lexical + semantic search on ElasticSearch/OpenSearch. Designing nori-enhanced indexes, knn, hybrid query DSLs for advanced document/research retrieval. Personalizing retrieval layers based on user intent.
AI-driven SQL Automation:
Creating SQL Gen, Validation, Tuning Agents with automated EXPLAIN analysis, semantic checks, iterative optimization. Building Performance Advisor systems for LLM-driven tuning recommendations. Enforcing clean architecture with separated API, Orchestrator, Repository, Core layers.
Cross-system Integration (Glue, VectorDB, Financial Systems):
Integrating knowledge bases and corporate systems with automated data pipelines. Developing document embedding workflows for hybrid retrieval. Connecting stock systems, research databases, SQL agents for full-spectrum financial analysis automation., [New Technology Team]
Project Leadership:
- Spearheaded the KPEP(KB Productivity Enhancement Platform) Gen AI Platform project using Agile methodologies for planning, development, and testing.
- Designed the entire system architecture for KPEP.
Backend Engineering (FastAPI, Docker):
- Developed and maintained web services for internal users.
- Built and operated inference services.
LLM Optimization & System Implementation:
- Enhanced performance with Fine-Tuning (SFT, DPO, Continual Pre-training, Depth Up Scaling).
- Applied additional Fine-Tuning in Korean to reduce Chinese outputs and optimize the model for Korean-language tasks.
- Customized the Aphrodite Engine Open Source to minimize Chinese outputs and ensure more relevant results in Korean.
- Applied GPTQ quantization for efficiency.
- Deployed advanced models using Paged Attention (Aphrodite Engine, VLLM).
RAG Performance Optimization (ElasticSearch):
- Implemented Hybrid Search (Semantic + Lexical).
- Improved NLP with Nori Plugin for Korean (e.g., stopwords, synonyms, and postfix handling).
- Built personalized RAG systems for individual users.
Legacy System Integration (Airflow, Object Storage):
- Developed embedding data pipelines for document updates by integrating the RAG system with the corporate knowledge portal.
- Linked the RAG system with the corporate database management system, enabling Text-to-SQL conversion and SQL Tuning Assistant features., [Information Platform Team]
Built a K8S-based JupyterLab management service for user analytics environments. (May 2023 - December 2023)
Developed a user authentication service, a K8S-based JupyterLab management service and a user bucket allocation service using Node.js.
Deployment and Operation of Internal Apache Airflow 2.7.3 (December 2023)
Built and managed a unified analytics server for scheduling various services using Bash Operator, Python Operator, and Shell Scripts.
Migrated customer churn models from Hadoop to Teradata using TeradataML, integrating them into Airflow DAGs.
Hadoop to Teradata IFX & Native Object Store (S3 Protocol) Migration (May 2023 - December 2023)
Migrated Hive, Impala, and Oozie resources to Teradata DBMS and Object Storage.
Controlled storage accessible via MapReduce by user accounts and monitored using CMS to ensure a seamless migration without operational interruptions.
Standardized big data resources. (*Column names, Table names)
Development of a K8S-Based Analytics Portal (May 2023 - December 2023)
Managed JupyterLab pods using K8S APIs.
Built an internal GitLab environment.
Set up Harbor and Docker within a secure internal network.
Support for Teradata ModelOps Implementation and Deployment (May 2023 - December 2023)
Established an internal Nexus-based Python repository.
Integrated Teradata ModelOps with GitLab.
Deployment and Operation of Internal Apache Airflow 2.6.0 (March 2023)
Deployed as a standalone remote server to schedule various services using SSH Operator and Shell Scripts.
Migrated Alteryx workflows to Airflow DAGs.
Developed operational workflows and established relevant policies for effective management.
KB Securities Data Portal Project Launch (December 2022 - April 2023)
Created data marts and views for domain-specific dashboards.
Developed MSTR BI reports.
Designed Snowflake schema for optimal data organization.
Conducted web penetration testing for user security.
Title: Backend Engineer
Company: None
Company URL: https://www.linkedin.com/company/kbsecurities/
Industry: None
Company Size: None
Location: None
Country: None
Employment Type: None
Start At: 07-2022
Ends At: 08-2022
Description: None
Title: Backend Engineer
Company: Alchera
Company URL: https://www.linkedin.com/company/alchera-inc/
Industry: Information Technology And Services
Company Size: 51-200
Location: 판교
Country: None
Employment Type: None
Start At: 08-2021
Ends At: 07-2022
Description: None
Title: Backend Engineer
Company: Ministry Of National Defense, Republic Of Korea
Company URL: https://www.linkedin.com/company/ministry-of-national-defense-republic-of-korea/
Industry: Military
Company Size: 501-1000
Location: Seoul, South Korea
Country: None
Employment Type: None
Start At: 07-2019
Ends At: 01-2021
Description: None
Title: Part-time – Sushi Cook & New Hire Trainer
Company: None
Company URL: https://www.linkedin.com/company/%E3%81%8F%E3%82%89%E5%AF%BF%E5%8F%B8%EF%BC%88%E6%A0%AA%EF%BC%89/
Industry: None
Company Size: None
Location: 일본 사이타마현 구마가야
Country: None
Employment Type: None
Start At: 10-2017
Ends At: 07-2018
Description: None
Education:
School: Dongguk University
Degree: Bachelor's degree, - 중앙학술동아리 DNA
- 극진공수도동아리 무법
Activities: None
School: 立正大学
Degree: Exchange Student, null
Activities: None
Headline:
빠르게 말고 제대로.