About
Hi, I’m Jiemin Lin (林玠珉).
I study scalable and reliable network systems across backbone, data center, and cloud-edge environments.
I build AI backends for RAG and agents, and deploy and quantize computer vision and large language models.
I am also a trained first aider.
I am currently an AI backend engineer at ByteDance. Previously, I worked at China Telecom Cloud Computing Corporation on AI backend systems and infrastructure.
I have more than three years of experience in retrieval-augmented generation (RAG), AI agents, and deploying and operating production AI systems. My work also includes GPU cluster management, as well as the deployment and quantization of AI models across speech, computer vision, and large language model (LLM) applications.
I received my M.S. degree from Soochow University under the supervision of Prof. Gangxiang Shen. My academic training spans electronic engineering, information engineering, and network communications.
I am also a certified first-aid provider accredited by both the Red Cross and the American Heart Association (AHA).
I am always happy to discuss research, engineering, or new ideas. If you are interested in my work or would like to connect, feel free to reach out via email. I typically respond within 24 hours.
Research Interests
My research interests mainly span network optimization across backbone, data center, and cloud-edge networks, as well as blocking theory for switching networks, including set-theoretic foundations for non-blocking phenomena and queueing-theoretic analysis for blocking phenomena.
Data Center Networks
My work focuses on AI-driven network architectures that support diverse services such as unicast, multicast, and co-flow. I have designed optical-circuit-switching-based architectures and algorithms for efficient service deployment.
Backbone Networks
I study blocking theory for switching networks and next-generation switching elements. My work includes strictly non-blocking conditions, blocking probability models, and Optical Cross-Connect (OXC) designs.
Cloud-Edge Networks
I focus on survivability and resilience in MEC scenarios, including integer linear programming models and heuristic algorithms for access-point and link protection.
More About Me
A few personal notes, including my faith and selected honors.
Faith
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Selected Awards
Departmental Excellence Award for Code Contributions at China Telecom Cloud Computing Corporation (天翼云代码贡献标杆奖), 2025.
Distinguished Master’s Thesis Award of Jiangsu Province (江苏省优秀硕士学位论文), 2024.
Distinguished Master’s Thesis Award of Soochow University (苏州大学优秀硕士学位论文), 2024.
Distinguished Master’s Thesis Award from the Chinese Institute of Electronics (中国电子学会优秀硕士学位论文), 2023.
Outstanding Graduate of Soochow University (苏州大学优秀毕业生).
National Scholarship (国家奖学金), 2022.
HUAWEI Outstanding Cooperation Project Award (华为优秀合作项目奖), 2022.
Outstanding Three-Good Student of Soochow University (苏州大学三好学生标兵), 2019.