Yelim Kim
Master's Student In Artificial Intelligence
Seoul
Summary
Research Interest
Data-Driven Weather Prediction, Subseasonal-to-Seasonal (S2S) Prediction
Overview
3
3
years of professional experience
4
4
Certifications
Work History
Internship Student
Weather And Climate Dynamics Lab
07.2023 - 02.2024
- Awarded from the Meteorological Society for outstanding paper work
- Developed Machine Learning Models for Predicting Solar Power Generation in the Korean Peninsula and Globally
- Developed Typhoon Path Prediction Model Using Ensemble Methods Based on FourCastNet(Pathak et al., 2022)
Internship Student
Squrenet
08.2021 - 09.2021
- Conducted research on chatbot models for coding education and developed game algorithms.
Education
Bachelor of Science - Artificial Intelligence
Seoul National University
Seoul, South Korea 04.2001 -
Bachelor of Science - Automation
Tsinghua University
Beijing, China 04.2001 -
High School Diploma -
Huiwen Middle School
Beijing, China 04.2001 -
High School -
Wilbraham&Monson Academy
Massachusetts, United States 04.2001 -
Activities
- Creative Autonomous AI Research Project (June 2024)
- Developed Weekast, an S2S weather prediction AI model
- Achieved 4th place in final presentation
- Co-authored draft paper on physics-informed AI framework for S2S predictability
- NVIDIA-NIMS-KISTI Meteorological AI Youth Boost Camp (July 2023)
- Participated in advanced deep learning training and a hackathon focusing on meteorological AI
- Awarded first place and prize money of KRW 500,000 at the Open Hackathon
- Kaggle competitions (2021-2023)
- Participated in 11 competitions, including the PetFinder.my - Pawpularity Contest, finishing in the top 25%.
- Google Developers Machine Learning Bootcamp (August 2021 - January 2022)
- Participated in weekly technical talks, career workshops and mentoring sessions.
- Discussed real-world problems and shared approaches to solving them in the industry
- Dacon competitions (2021)
- Participated in the AI competition to diagnose plant diseases in changing agricultural environments and placed in the top 30%.
- Participation in the competition to predict the growing season of crops.
- Microsoft Github HackaLearn (August 2021 - September 2021)
- Served as Discord channel administrator.
- Developed a web app based on Microsoft Azure.
Certification
Microsoft Certified: Azure AI Fundamentals
Timeline
Internship Student
Weather And Climate Dynamics Lab
07.2023 - 02.2024
Microsoft Certified: Azure AI Fundamentals
07-2023
TensorFlow Developer Certificate, TensorFlow
12-2021
Deep Learning Specialization, Coursera
10-2021
Internship Student
Squrenet
08.2021 - 09.2021
Microsoft Certified: Introduction to Data Science course
08-2018
Bachelor of Science - Artificial Intelligence
Seoul National University
04.2001 -
Bachelor of Science - Automation
Tsinghua University
04.2001 -
High School Diploma -
Huiwen Middle School
04.2001 -
High School -
Wilbraham&Monson Academy
04.2001 -
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