Jeeeun Ahn
LG Energy Solution
Hudsonville
1
Language
4
years of professional experience
Electrical & Electronics Engineer with experience in battery manufacturing equipment engineering, automation, and data-driven process improvement. Skilled in equipment analysis, root cause investigation, machine vision systems, and technical problem solving. Passionate about developing engineering solutions through analysis, design, and continuous improvement, with interests in battery technology, validation, and advanced engineering roles.
Work History
Equipment Engineering
1 Year- Analyze equipment performance data, downtime trends, and alarm history to identify root causes and improve equipment reliability and process stability.
- Improved average equipment uptime from 65.75% to 78.16% through systematic downtime analysis, failure investigation, and equipment improvement initiatives.
- Led deployment and optimization of Keyence IV4 machine vision inspection systems across multiple production lines to improve defect detection capability and process monitoring.
- Developed and organized approximately 10,000 image datasets (5,000 OK / 5,000 NG samples) to support AI-based vision inspection model training and validation.
- Performed equipment troubleshooting and root cause analysis for mechanical, electrical, sensor, and control system-related issues.
- Supported equipment modification, installation, commissioning, and performance improvement activities for automated manufacturing systems.
- Created and updated standard operating procedures (SOPs), work instructions, and technical documentation to improve equipment operation and maintenance efficiency.
- Disassembled, analyzed, and reassembled cutter modules to investigate equipment issues and develop maintenance improvement procedures.
- Collaborated with production, maintenance, and quality teams to resolve technical issues and implement continuous improvement projects.
Teaching Assistant
2 Years 5 Months- Classes: Calculus I & Calculus II, Circuit & System Design II Lab, Object -Oriented Program (C++), Fund Signals/Systems, and
Eng Prob Stats
Research Assistant
2 Years 4 Months- Fabrication of microfluidic chip: Study the neuron growth and its impact on brain diseases. Designed and optimized
microfluidic channels with varying PDMS mixing ratios (10:1, 10:2, 10:3) to analyze mechanical properties and
biocompatibility. The project aimed to create an alternative to traditional animal testing by developing a cost-effective and
ethical platform for neurological studies. - Development of plant gas sensor with Python: Developed a plant gas sensor using Python-based data analysis to detect
volatile organic compounds (VOCs) released by plants under stress. Designed the sensor to monitor wind strength and
direction, enabling precise tracking of gas dispersion and its potential effects on surrounding plants. By detecting early
stress signals, the sensor aimed to prevent widespread plant shriveling and improve agricultural sustainability. - Study of artificial lung transplant: ECMO problems: Investigated challenges in artificial lung transplantation with a focus on
extracorporeal membrane oxygenation (ECMO) systems. Analyzed oxygen transfer efficiency, hemocompatibility, and fluid
dynamics in ECMO circuits to identify limitations affecting long-term viability.
Education
Bachelor of Science - Electrical Engineering
Skills
Equipment troubleshooting
Failure modes and effects analysis
Languages
Korean
Native or Bilingual
Timeline
Equipment Engineering
LG Energy Solution
08.2025 - CurrentRead More
Teaching Assistant
University of Utah
01.2023 - 06.2025Read More
Research Assistant
University of Utah
08.2022 - 12.2024Read More
University of Utah
Bachelor of Science from Electrical Engineering
Read More