Principal Software Engineer (AI ML) Enterprise AI Systems & LLM Platforms
Singapore
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Summary
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Senior
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Top School
Jiunyi Yang is a Principal Software Engineer specializing in enterprise AI systems and LLM platforms, with nine years of experience and 6+ years focused on architecting RAG frameworks, agentic workflows, and on-prem secure LLM infrastructure. He has led cross-functional teams to productionize conversational AI and issue-intelligence systems that handle 30,000+ daily conversations with sub-5-second responses and 95%+ accuracy in FAQ scenarios. As a published researcher (Nature Scientific Reports) he developed TCNNet-9B, reporting a 2.35x performance gain on domain-specific tasks, and has practical expertise in LLM fine-tuning, PEFT, distributed multi-GPU training, and vLLM optimization. Jiunyi combines product-minded engineering with measurable business impact—delivering higher engagement and ROI via RAG-driven marketing and ESG/reporting tools and improving healthcare and e-commerce outcomes. He mentors engineers on applied and responsible AI while driving roadmaps for deployment readiness in regulated, on-prem environments. Based in Singapore, he bridges deep research credentials with hands-on deployment experience across finance, healthcare, and martech clients.
9 years of coding experience
8 years of employment as a software developer
Bachelor's degree, Industrial Engineering and Management, Bachelor's degree, Industrial Engineering and Management at National Chiao Tung University
Master of Management Information Systems, 資訊管理研究所, Master of Management Information Systems, 資訊管理研究所 at National Chengchi University
Abilities and project as a data scientist with ad/marketing domain knowledge.
Contributions:14 commits, 2 PRs, 12 pushes in 1 year 9 months
pythondata-scienceknowledgemachine-learningdomain
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Jiunyi Yang - Principal Software Engineer (AI ML) Enterprise AI Systems & LLM Platforms