Chien-chi Kao is a researcher and seasoned scientist with nine years of experience bridging academia and industry, currently developing AI-driven network systems at Chunghwa Telecom. He holds a PhD in Computer Science from National Tsing Hua University and an IBM PhD Fellowship, and has published highly cited work across networking and machine learning. At Chunghwa Telecom he led multiple teams to build production-scale solutions—traffic prediction with DNN/RNN/LSTM variants, recommendation and recognition systems, a TV-rating platform ingesting data from two million set-top boxes, and a fuzzy-logic troubleshooting module for NMS. His engineering strengths include Python-based ML stack, Java for high-performance systems, and algorithmic problem-solving demonstrated by a well-regarded GitHub repo of optimized Codility solutions (100% performance). Known for combining rigorous academic methods with practical, scalable implementations, he brings both deep research insight and hands-on production delivery.
9 years of coding experience
3 years of employment as a software developer
Bachelor's degree, Computer Science and Information Engineering, GPA: 3.5/4.0, Bachelor's degree, Computer Science and Information Engineering, GPA: 3.5/4.0 at National Chung Cheng University
Doctor of Philosophy - PhD, Computer Science, GPA: 4.0/4.0, Doctor of Philosophy - PhD, Computer Science, GPA: 4.0/4.0 at National Tsing Hua University
Contributions:155 commits, 4 PRs, 149 pushes in 1 year 8 months
Contributions summary:Chien-chi contributed solutions to Codility problems, focusing on algorithms and data structures implemented in Java. Their commits demonstrate proficiency in problem-solving using bit manipulation, XOR operations, and concepts such as dynamic programming, with a focus on achieving optimal performance (100% performance). The contributions involve creating and updating Java files to solve various Codility lessons.
Contributions:28 commits, 19 pushes, 1 branch in 2 months
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