The work I continue to own
- Understand the domain
- Map tasks and dependencies
- Advance implementation and verification
- Review issues and decisions
From software engineering to applied-AI delivery.
Across six years, responsibility expanded from industry software and physical workflows to complex services, applied AI, project governance, and cross-functional delivery.
How my responsibility grew with project complexity
I start by understanding the business and system, then own implementation, collaboration, quality verification, and issue closure.
Yunyu · Moor.AI
Applied AI × project governanceI worked across AI service integration, RAG, context, and long-term memory while coordinating scope, milestones, risk, quality, and cross-functional delivery.
My responsibility expanded from complex systems into applied AI and project governance.
Xiamen Wensi · Education
Complex systems × collaborative deliveryI contributed to multi-role education workflows, Spring Cloud services, payments, and reconciliation while supporting customer alignment, iterations, and acceptance.
I moved from module implementation into complex workflow coordination and delivery rhythm.
RayKol · Smart systems
Industry software × physical workflowsI modeled and implemented smart laboratory, warehouse, and safety-barrier workflows with instrument coordination and go-live support.
I built the connection between industry processes, physical objects, and system responsibilities.
Xiamen Institute of Technology · Information and Computing Science · B.S.
2017.09-2021.06
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How I work
Outcome focus
Start from business goals and delivery outcomes, then choose the technical path.
Structured execution
Break complexity into scope, tasks, dependencies, risks, and acceptance.
Engineering reality
Balance maintainability, reliability, cost, and real user experience.
Continuous review
Turn issues, decisions, and learning into the next iteration.