AI Workflow Automation Architect
Topolo Technology Inc
Designed workflow automation systems that connect CRM, research, messaging, roadmap, support, content, and internal operations into controlled execution loops.
- Built automation patterns for CRM enrichment, LinkedIn and web research, WhatsApp/email flows, documentation, roadmap analysis, support triage, media workflows, and internal delivery tracking.
- Structured event-driven backends using Workers, queues, D1/KV/R2 storage, Vectorize, scheduled jobs, service clients, and operator dashboards for repeatable execution.
- Designed review gates, idempotent workflows, retry paths, state tracking, audit trails, and scoped authorization to keep automation useful without losing control.
- Connected front-end operator surfaces with backend services so humans could inspect, approve, override, and improve automated work.
- Turned manual research and operations loops into reusable playbooks supported by prompts, structured outputs, browser automation, and data-quality checks.