Chih-ming Chen
Algorithm Developer at Miso Technologies Inc.
New Taipei, Taiwan
Summary
🤩
Rockstar🎓
Top SchoolChih-ming Chen is an algorithm developer with 11 years of experience specializing in music recommendation and machine learning systems, currently working at Miso Technologies and previously shaping recommendation engines at KKBOX. He combines academic rigor—Master's in Computer Science and research stints at Academia Sinica and LARC—with hands-on production experience building and tuning music recommendation algorithms. His background includes teaching graduate-level programming and web search/mining courses, reflecting strong foundations in Python and information retrieval. Chih-ming has moved fluidly between research and industry roles, contributing to both prototypes and deployed systems, and briefly collaborated with AI startups like CHANGING.AI. Based in New Taipei, Taiwan, he brings a researcher’s curiosity to product-focused engineering, often bridging novel algorithm ideas into real-world music personalization. An understated strength is his sustained involvement in education and research alongside commercial development, which helps him translate academic advances into practical recommendation improvements.
11 years of coding experience
5 years of employment as a software developer
Master's degree, Computer Science, Master's degree, Computer Science at National Chengchi UniversityBachelor's degree, Computer Science, Bachelor's degree, Computer Science at Soochow University
Github Skills (74)
python10
deep-learning10
embedding10
representation-learning10
corona10
knowledge-graph10
recommender-system10
recommender10
pubmed10
data-science10
graph10
community-detection10
graph-embedding10
kernel-methods10
machine-learning10
Programming languages (3)
Github contributions (5)
chihming/DataTransformer
Nov 2014 - Mar 2017
Contributions:106 commits, 7 pushes in 2 years 4 months
chihming/awesome-network-embedding
Nov 2016 - Apr 2020
A curated list of network embedding techniques.
Contributions:87 commits, 56 PRs, 134 pushes in 3 years 5 months
techniquesnetwork-embeddingneural-networkskernel-methodsgraph-embedding
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