Summary
Hung-yun Chiang is a pragmatic software engineer with 8 years of experience bridging deep learning research and production systems, currently working on Google Assistant infrastructure after a recent role building high-performance kernel drivers and CI pipelines at Synology. He has a strong research background in NLP and speech processing—coauthoring a ROCLING paper and contributing to Taiwanese ASR improvements that shaved 9% off CER—paired with hands-on skills in C++, Python, Linux kernel development, and performance profiling. His work spans recommender and ad‑performance models to low‑resource ASR and TTS research, demonstrating an ability to move ideas from research to measurable product impact. Based in New Taipei, he combines academic rigor from National Tsing Hua University and international study with practical system-level engineering that often yields order-of-magnitude performance gains.
8 years of coding experience
4 years of employment as a software developer
Master's degree, Computer Science, Master's degree, Computer Science at 清華大學
Bachelor's degree, Computer Science, Bachelor's degree, Computer Science at 國立臺灣科技大學
Computer Science, Computer Science at Politechnika Wrocławska