Hello! I'm Seonwoo Kim, an engineer passionate about AI intelligent, and connected systems.I'm an customers-centric platform engineer with hands-on experience in cloud infrastructure, embedded systems, and intelligent sensing.
I love building scalable systems and solving real-world problems using a mix of software engineering and AI.
About Me
I'm an engineer who bridges the worlds of software automation, cloud networking, and AI research. My academic background is rooted in electrical and computer engineering, and I have a strong interest in cloud platform, and AI. I am conducting various research projects focused on designing user interfaces that effectively reflect user experience insights, with the goal of creating intuitive and human-centered interaction systems.
Β Work Experience
Researcher - DSAIL(Artificial Intelligence Lab)
May 2025-Presentβ’
Researching human-centric Intelligent Transportation system or Internet Traffic.
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μ¬μ©μ κ²½ν(UX)μ κΈ°λ°νμ¬ μ§κ΄μ μ΄κ³ μ¬λ μ€μ¬μ μΈ μΈν°νμ΄μ€λ₯Ό μ€κ³νλ λ€μν μ°κ΅¬λ₯Ό μ§ννκ³ μμ΅λλ€. - I am conducting various research projects focused on designing user interfaces that effectively reflect user experience insights, with the goal of creating intuitive and human-centered interaction systems. Collaborated with Penn State University in U.S.
Cloud Support Associate
Amazon Web Services, Dublin, Ireland
Nov 2024 β Apr 2025β’
Supported Storage and Content Delivery services (S3, CloudFront, SES) with security-oriented troubleshooting.
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Analyzed HTTP caching behaviors and headers to prevent data leakage.
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Queried large datasets using Amazon Athena to identify root causes and ensure compliance.
Software Engineer
Samsung Electronics, Suwon, South Korea
Aug 2023 β Sep 2024β’
Built backend automation tools and chatbot platforms.
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Deployed test automation tools and security validation for IoT systems.
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Conducted collaborative testing with Verizon on EC2, Outposts, and vDU servers.
Research Associate
ICS Lab, SKKU, Suwon, South Korea
Jan 2023 β Aug 2024 (Part time from Jan to Feb)β’
Developed reinforcement learning models for cloud-edge collaboration.
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Optimized sensing decisions in vehicular networks via PPO and SUMO simulations.
Part Time Intern β Software Engineer
LG Energy Solution, Seoul
Mar 2023 - Early Jul 2023β’
Designed intelligent algorithms using deep learning for battery inspection systems.
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Conducted vision analysis and predictive modeling using image and sensor data.
Intern β Deep Learning Researcher
Top Engineering, Seongnam
Jan β Feb 2023β’
Researched bias/gain non-uniformity correction algorithms.
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Applied YOLO models to detect PCB board components.
Teaching Assistant (STEM) for disabled students
Sungkyunkwan University, Suwon
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Calculus II, 2020 Fall
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General Chemistry I, 2021 Spring
Β Education
B.S. in Electronic and Electrical Engineering
Sungkyunkwan University (SKKU), Seoul, Korea
Mar 2020 β Aug 2023β’
GPA: 4.13/4.5 (96.3/100) β Magna Cum Laude
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Best Capstone Award, Dean's List, National Scholarship Exchange Student
Nanyang Technological University (NTU), Singapore
Aug β Dec 2022 Awards & Scholarships
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Best Capstone Design Award β Autonomous IoT Car (2023)β’
Seoam Yoon Se Young Scholarship (Full Tuition)β’
National Work-Study & Success Scholarshipsβ’
Deanβs List β 2020, 2023
Projects
Title | Type | Affiliation | Date | Details | Tags |
Sensing Design for Vehicular Sensor Networks | Research Project | Sungkyunkwan University | 2023.01β2023.02 | RL-based AoI minimization in VSNs using PPO + SUMO simulation. | Reinforcement Learning, IoT, SUMO, MDP, Edge AI |
AI-driven Test Automation System | Engineering Project | Samsung Electronics | 2023.08β2024.09 | Designed Python-based automation for network systems. Integrated generative AI to handle edge cases. | Test Automation, Generative AI, Python, Robot Framework |
Battery Quality Vision Model | Internship Project | LG Energy Solution | 2023.07 | Built deep learning algorithms to identify battery defects via image analysis. | Computer Vision, Deep Learning, Manufacturing, EV |
Bias & Gain Correction for Semiconductor Inspection | Internship Research | Top Engineering | 2023.01β2023.02 | Developed recursive non-uniformity correction algorithms. Applied YOLOv3-v7 for PCB detection. | YOLO, Image Processing, Semiconductor, Python |
Semantic Communication with Generative AI | Research Internship | ICS Lab, SKKU | 2023.03β2023.06 | Studied semantic encoding strategies using AI for network efficiency. | Generative AI, Network Optimization, Semantic Communication |
Skills
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Languages: Python, C/C++, Java, Go, HTML/CSS/JS, C#, x86-64 ASM
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Cloud & Systems: AWS (S3, CloudFront, SES, Athena), Linux, Kubernetes
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AI/ML: RL (PPO), SUMO, YOLO, image processing, semantic communication
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Tools: REST APIs, Robot Framework, Jira, Confluence
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Domains: Cloud Security, Edge Computing, Embedded Systems, Test Automation
Letβs Connect
I'm currently exploring new challenges and collaborations!
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Email: sogongyeo@naver.com
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GitHub:
