Hsuan Liang is a software engineer with 11 years of experience building scalable back-end and distributed systems, currently working at Apple and pursuing a Master’s in Software Engineering at Carnegie Mellon University. His background spans cloud computing and AI, with early contributions integrating Amazon SQS for CloudSearch at A9 to improve fault tolerance and cut DynamoDB costs by over 35%. He has hands-on experience with large-scale search and big data workflows, having worked on Apache Solr enhancements and Hadoop/Mahout experiments for malicious website detection. Based in Mountain View, he blends production-grade engineering at a major tech company with academic rigor, and often focuses on practical, cost-effective approaches to distributed system design.
11 years of coding experience
1 year of employment as a software developer
Bachelor of Science (B.S.), Computer Science and Information Engineering, Bachelor of Science (B.S.), Computer Science and Information Engineering at National Taiwan University
Master of Science (M.S.), Software Engineering, Master of Science (M.S.), Software Engineering at Carnegie Mellon University, Silicon Valley
Contributions:11 commits, 9 pushes, 1 branch in 6 days
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