Jerry Huang is a software engineer with 11 years of experience specializing in backend and DevOps, currently building ASR transcript and model pipelines at Sorenson Communications. He has deep hands-on expertise designing microservices, RESTful APIs, and deploying scalable ML-backed systems using Python, Node.js, and TypeScript. Past roles at Taiwan AILabs and Amazon show a track record of driving product growth, optimizing databases (SQL→NoSQL migrations), and cutting cloud costs through network and storage optimizations. He’s comfortable across the stack—creating task-queue ML microservices, data pipelines with SNS/SQS, and responsive web tools—and has repeatedly improved operational metrics like DAU, revenue, and infrastructure cost. Based in Newark, California, he blends academic grounding (MS in CS) and data-engineering certification with practical experience deploying production ML services. A pragmatic problem-solver, he often focuses on small architecture changes that yield outsized performance and cost improvements.
11 years of coding experience
6 years of employment as a software developer
Master’s Degree Computer Science, Master’s Degree Computer Science at Arizona State University
Bachelor of Science (B.S.) Computer Graphics; Website Development, Bachelor of Science (B.S.) Computer Graphics; Website Development at National Central University
Certificate Data Analysis and Data Engineer, Certificate Data Analysis and Data Engineer at UCSC Silicon Valley Extension
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