Joy Liao is a software engineer with 10 years of experience building scalable backend systems and integrating AI capabilities, currently focused on LLMs, RAG, and NLP applications. She has designed high-throughput data ingestion and parsing pipelines that process millions of telecom records daily, leveraging Kafka and Kubernetes for reliability and scalability. Joy has modernized CI/CD workflows across Jenkins and Azure DevOps to enable targeted deployments and robust integration testing, and she brings hands-on serverless and cloud experience from AWS and Azure ecosystems. Comfortable bridging research-driven AI prototypes with production-grade infrastructure, she excels at aligning downstream integrations and operational requirements to deliver dependable, efficient systems. An understated strength is her knack for pragmatic schema design and automated validation, which reduces downstream friction and accelerates cross-team delivery.
10 years of coding experience
2 years of employment as a software developer
國立台中科技大學
Master's degree, Master's degree at National Chung Hsing University
Contributions:2 PRs, 111 pushes, 1 branch in 1 year
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