Resume

AI Engineer leading the full cycle — from LLM agents to data quality.

Skills

eMoldino, Gangnam — April 2025 - Present

Designed and deployed end-to-end machine learning pipelines for predictive modeling in the manufacturing domain. [Python, AWS]
Translated business requirements from cross-functional stakeholders — product, sales, and hardware — into technical specifications for AI-driven solutions.
Optimized data lifecycle management processes including large-scale data processing, cleansing, and integrity validation to secure high-quality data sources for AI/ML model performance. [Snowflake, SQL]
Designed an LLM-based automated code health and vulnerability detection solution, proactively mitigating security risks and technical debt through autonomous architectural conformance reviews. [Amazon Bedrock, Claude, LangChain]
Analyzed existing data to derive and visualize key metrics and trends, then facilitated alignment between decision-makers in both Korean and English to drive tangible project progress.

Citek Systems , Changwon — March 2023 - November 2023

Developed an AI model to predict CNC manufacturing anomalies based on vibration data. [Random Forest, CNN]
Built ETL pipelines to process and load sensor data generated by smart factory equipment. [Pandas, SQL]
Deployed real-time machine learning models as RESTful APIs to support inference in production environments. [Flask, Scikit-learn, Postman]
Built supervised learning and deep learning ensemble models for manufacturing defect prediction. [XGBoost, LSTM]
Detected chatter (faulty machining) in machine tools using current data and CNN-based anomaly detection. [TensorFlow]
Applied techniques from research papers to improve and innovate existing in-house products.
Mentored junior web developers on version control, testing, and debugging workflows. [Git, Figma, VSCode]

Ezgeo, Changwon — July 2022 - November 2022

Developed a full-stack application for a government-funded smart factory machine vision project. [Django, JavaScript, SQL, Linux]
Implemented a compact MES (Manufacturing Execution System) with container-based deployment and a web management interface. [Docker, Portainer]
Integrated image analysis and video processing capabilities into an in-house web application. [OpenCV]
Collaborated with an ML engineer to integrate deep learning inference into enterprise application software. [TensorFlow]
Planned development sprints based on project requirement documents and research materials.

GSF Systems , Changwon — March 2022 - July 2022

Built a full-stack dashboard for displaying smart farm cultivation data to support vertical farm operations. [SQL, Python, Django]
Conducted research on vertical farming, hydroponics, and indoor agriculture to support overseas business development.
Authored investor pitch decks and consumer product presentations at CES 2022, contributing to a CES Innovation Award win in 2023.
Translated and researched export materials and basic IR/accounting documents related to the controlled environment agriculture industry.

Haemilsoft , Ulsan — March 2021 - September 2021

Developed a full-stack smart farm monitoring platform using enterprise-grade tools. [SQL Server, Java Spring, Azure TFS]
Introduced and led adoption of a collaborative UI design tool within the development team. [Figma]
Interpreted English documentation, tutorials, and error codes for libraries and frameworks used by the team. [SSMS, Eclipse, Gradle]
Monitored an in-house EMS (Energy Management System) for tracking energy production and incidents at solar power plants.