Resume
2024.08 - 2025.06
Amazon - Chief AI Scientist
2025.01
Ph.D. in EECS - MIT
2023.09 - 2024.09
Master's Student in SoC - KAIST
Goverment Scholarship Student
2016.03 - 2023.02
Bachelor's Student in CS & Mathematics - HGU
2016.09 - 2016.10
Bachelor's Student - Harvard
Dropped out
Area of Work
Computer Vision, Natural Language Processing, Reinforcement Learning, Robotics, Bioinformatics, Financial AI, Optimization Algorithm, etc.
These are 4 papers that MIT EECS faculty read when I got Ph.D. degree.
Do not apply to me for freelance work unless you are an enginner who can understand these 4 papers.
1. Can LLM Solve Math Problems? - 2024.11
2. Critics to AlphaGeometry - 2024.08 (You don't need to understand full details of this paper)
3. O(N) Sorting Algorithm & New efficient DS - 2024.08
4. The Core Princeiple of Neural Networks - 2024.11
Do not use LLM to understand these papers. Use your own intelligence. LLM doesn't work efficiently when inputs are pioneering frontier contents.