Rujikorn Charakorn
Member Of Technical Staff at Sakana AI
Tokyo, Japan
Summary
🤩
Rockstar🎓
Top SchoolRujikorn Charakorn is a research-driven software engineer with nine years of experience bridging academic research and industry productization, currently a Member of Technical Staff at Sakana AI in Tokyo. She completed a Ph.D. in Information Science and Technology at VISTEC and has interned at NAVER LABS Europe, where she built a skill-learning codebase for a mobile manipulator and won the internship presentation award. Her background spans machine learning, robotics, and applied data science—ranging from satellite imagery and geolocation projects to recommendation systems—reflecting both breadth and hands-on implementation. Comfortable moving prototypes toward production, she pairs deep technical rigor with practical impact, often contributing at the intersection of research and engineering.
9 years of coding experience
Bachelor of Engineering - BE, Computer Engineering, 3.48 (second class honors), Bachelor of Engineering - BE, Computer Engineering, 3.48 (second class honors) at Chulalongkorn UniversityDoctor of Engineering, Information Science and Technology, Doctor of Engineering, Information Science and Technology at Vidyasirimedhi Institute of Science and Technology (VISTEC)
English
Github Skills (154)
parallel10
python10
multi-agent-reinforcement-learning10
othello10
gymnasium10
sac10
perl10
hyperparameter-optimization10
deep-learning10
ray10
optimization10
c5110
single-file10
api10
wandb10
Programming languages (9)
Github contributions (5)
51616/split-vae
Jan 2020 - Jan 2023
Original implementation of Separated Paths for Local and Global Information framework (SPLIT) in TensorFlow 2.
Contributions:6 commits, 1 PR, 10 pushes in 3 years
splitdeep-learningpathstensorflowtensorflow-2
51616/CU_Makhos
Feb 2019 - Jun 2019
Contributions:222 commits, 219 pushes, 1 branch in 3 months
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