Qishuai Zhong is an AI Lead Specialist and PhD candidate at NTU with a decade of engineering experience and a strong track record building production-grade GenAI and ML platforms in Singapore’s finance and e‑commerce sectors. He has led MLE teams at OCBC and developed cloud-native, high‑QPS systems at Shopee—authoring dynamic batching serving frameworks and FasterTransformer conversion tools that optimized inference at scale. Comfortable across Go and Python, he designs end-to-end MLOps solutions, from CI/CD and model conversion to deployment, monitoring and autoscaling, and also teaches MLOps as an adjunct lecturer. His background spans research-driven AutoML and conversational AI prototypes to hands-on delivery of multi-model serving pipelines, reflecting a blend of academic rigor and pragmatic production engineering.
10 years of coding experience
8 years of employment as a software developer
Bachelor of Arts English(Technology oriented), Bachelor of Arts English(Technology oriented) at South China University of Technology
Graduate Diploma System Analysis, Graduate Diploma System Analysis at National University of Singapore
High School Diploma, High School Diploma at jinan foreign language school
Doctor of Philosophy - PhD Computer Science, Doctor of Philosophy - PhD Computer Science at Nanyang Technological University Singapore
Bachelor of Economics Finance, Bachelor of Economics Finance at 华南理工大学
A high-throughput and memory-efficient inference and serving engine for LLMs
Contributions:21 pushes, 4 branches in 7 months
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