mumong wang
@mumongwang
Cloud-native LLM application engineer focused on reliable agent delivery, context optimization, and evaluation-driven iteration.
What I'm looking for
I’m a cloud-native LLM application/agent engineer who focuses on making agent systems stable, traceable, and reliably iterative. I improve Agent stability and iteration through task orchestration, context management, execution tracing, and evaluation loops—especially under small-model constraints.
I build agent workflows that understand capability boundaries and apply deterministic logic when real-world tasks shouldn’t be delegated to LLMs. My core strengths include workflow orchestration, MCP tool use, structured handoff, output constraints, prompt caching, tool-output compression, state summaries, and fallback logic.
On the platform side, I design and deliver observability data foundations for AIOps and agent diagnosis, integrating Kubernetes-native tooling and AI inference deployment stacks. I’ve researched and deployed AI infra tools such as KubeFlow, vLLM/LMDeploy, and Volcano/Ray, and I productize reliable deployment and evaluation with clear tracing and abnormal-case replay.
Experience
Work history, roles, and key accomplishments
Cloud Platform R&D Engineer
Zhongguancun Panlink
Jun 2024 - Present (2 years)
Built a four-node AIOps Agent diagnosis workflow and a fast query path for stable, traceable execution under small-model constraints, focusing on context optimization and evaluation. Researched and deployed AI infrastructure tooling (KubeFlow, vLLM/LMDeploy, Ray/Volcano) and used AI coding QA practices to formalize SDD, code review, and bad-case review into the development workflow.
DevOps Intern
Valtech China
Oct 2023 - Jan 2024 (3 months)
Maintained CI pipelines for connected-vehicle services by diagnosing build failures, service issues, and environment configuration problems. Configured Nginx mutual TLS and a containerized test proxy to support testing workflows.
Cloud Computing Dev Intern
Transwarp
Jul 2022 - Oct 2023 (1 year 3 months)
Contributed to cloud platform product deployment development through automation scripts and multi-OS adaptation. Supported Kubernetes troubleshooting and provided technical support during delivery and operations.
Education
Degrees, certifications, and relevant coursework
Shanghai Normal University
Master of Science in Electronic Information, Electronic Information
2021 - 2024
Completed a Master of Science program in Electronic Information at Shanghai Normal University from 2021.09 to 2024.06.
Southwest Jiaotong University
Bachelor of Science in Electronic Information Science and Technology, Electronic Information Science and Technology
2017 - 2021
Completed a Bachelor of Science program in Electronic Information Science and Technology at Southwest Jiaotong University from 2017.09 to 2021.06.
Tech stack
Software and tools used professionally
Availability
Location
Authorized to work in
Job categories
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