Chia-yuan Chang is an applied scientist with nine years of experience bridging academic research and production ML, currently extending long-context capabilities and sparse-attention methods for large-scale LLM pretraining at Amazon in Mountain View. He holds advanced graduate training from Texas A&M (PhD work) and has driven multi-agent RAG, fairness-aware ML for healthcare, and training-free RAG innovations during internships and research roles. Comfortable moving models from idea to implementation, he has shipped hybrid LLM architectures and scalable backend services while contributing to time-series forecasting, NLP, and recommender-system projects. A former civil engineer turned ML researcher, he combines systems-oriented pragmatism with rigorous algorithmic thinking, often focusing on generalization and practical deployment constraints.
9 years of coding experience
7 years of employment as a software developer
Master's degree Civil Engineering, Master's degree Civil Engineering at National Cheng Kung University
Bachelor's degree Civil Engineering, Bachelor's degree Civil Engineering at National Central University
Doctor of Philosophy - PhD Computer Science, Doctor of Philosophy - PhD Computer Science at Texas A&M University
A real-time chat room with a map editor to draw up your trip scheme.
Contributions:67 PRs, 140 pushes, 2 branches in 5 years 1 month
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