Kaige Yang
Applied Scientist II at Amazon Web Services (AWS)
London, England, United Kingdom
Summary
👤
Senior🎓
Top SchoolKaige Yang is an Applied Scientist II at AWS and a PhD candidate in Reinforcement Learning at UCL with nine years of experience building and deploying large-scale ML systems. He designs distributed RL infrastructures on AWS, applies RL to gaming for NPC behavior and balance testing, and scales LLM fine-tuning and inference across EC2 clusters. Kaige also deploys vision-language models for video understanding and QA chatbots, bridging research-grade models with production constraints. His background includes research internships at BBC R&D and ADSC, reflecting a blend of applied industry impact and academic rigor. Notably, he brings end-to-end delivery experience from prototype to cloud-native deployment, making him adept at turning RL research into scalable products.
9 years of coding experience
University College London
Chinese, English
Github Skills (28)
parallel10
reinforcement-learning10
ray10
optimization10
data-science9
pytorch9
java9
scaling9
llm9
python9
llm-inference9
large-language-models9
machine-learning9
tensorflow9
deep-learning9
Programming languages (1)
Github contributions (5)
yang0110/graph-based-bandit
May 2019 - Jan 2020
Contributions:29 commits, 1 push in 8 months
yang0110/comPy
Oct 2016 - Dec 2016
Contributions:42 commits, 41 pushes, 5 branches in 2 months
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