demo@example.comChina / Remote / Open to relocation10 years
Summary
10 years of engineering and AI delivery experience with Alibaba and SenseTime context, focused on enterprise Agent platform architecture: bringing LLM capabilities into core business workflows through evaluable, auditable, scalable, operable production systems.
Focused on enterprise Agent platform architecture across runtime, tool systems, permission audit, replay evaluation, and enterprise integration.
Model data feedback, LLMOps, and enterprise integration are supporting proof for one platform-owner positioning.
Project evidence should add real platform scale, workflows, quality gates, reliability metrics, and ROI outcomes.
Experience
Agent Platform LeadEnterprise AI Platform Team
Led enterprise Agent runtime, tool permissions, evaluation, and data loops, moving multiple workflows from POC to production.
Designed task orchestration, tool registry, permission audit, replay evaluation, and staged rollout mechanisms.
Built a badcase review, preference data, and Agent quality feedback loop.
Made success rate, human handoff rate, and tool misuse rate part of launch gates.
Technical ArchitectLarge-scale SaaS Product Group
Owned multi-tenant SaaS, workflow platform, and data integration architecture for operations and customer success teams.
Converted repetitive operations into configurable workflows, reducing duplicate engineering effort.
Built observability, audit, and SLA dashboards to improve cross-team incident response.