Hello! I’m SEOHEE KIM (ARIELLE), a graduate with a degree in Software and Artificial Intelligence (SW/AI) from South Korea 🇰🇷. I am working towards becoming an Autonomous Driving Software Engineer, with a particular focus on in-vehicle communication systems for autonomous vehicles.

• GDSC HUFS Solution Challenge (December 2022 - March 2023)
• Parking space detection using image processing and object recognition (August 20, 2024 - September 9)
• Predictive Pedestrian Detection in Autonomous Driving Using Traditional Korean Mask Dance (Talchum) Motion Data (Big Data_2024_2nd_Semester)

• SW/AI Major at Hankuk University of Foreign Studies (Expected to graduate in February 2025)
• GDSC_HUFS Team Member (2022 - 2023)
  • Collaborated with team members on various projects and events related to Google technologies(Kotlin, Tensorflow).
• Autonomous Driving Track (Elice, 1st Period, July 2024)

• Digital Export Support Center Operation Project at NIPA (June 24, 2022 - December 30, 2022)
  • Conducted ICT support platform management, marketing, data collection, report creation, and translation/interpretation tasks.

I have a strong interest in automotive technologies, especially in the areas of vehicle dynamics modeling and F1 motorsports engineering.

Understanding the limits of vehicle performance and the principles of precise control in motorsports inspires my approach to autonomous driving development. I believe that insights from high-performance racing can lead to safer, more reliable autonomous systems.

• Vehicle Dynamics: Studying physical behavior and control models to enhance autonomous driving performance.
• F1 Engineering: Learning from aerodynamic design, tire behavior, and advanced control strategies to apply them in real-world mobility solutions.

• Email: [seohee70428@gmail.com]
• LinkedIn: [https://www.linkedin.com/in/seohee-kim-12ab1b316/]
• Blog: [https://arielle0222.github.io/]