Satomune Mie

Built production AI integration, automation, and full-stack systems for businesses
that needed to connect AI with real operational workflows. Delivered backend
services, SaaS dashboards, AI workflow engines, CRM/API integrations, document
pipelines, customer-facing tools, and secure internal automation systems.
Focused on practical AI implementation: intake → classification → decision support →
human review → system update → reporting → monitoring.

Built machine learning, data automation, internal software tools, forecasting
systems, anomaly detection workflows, reporting platforms, and analyst-facing
applications. Worked across data pipelines, backend services, model evaluation,
operational dashboards, and business automation.

Built full-stack business applications, backend automation, internal portals,
reporting dashboards, API integrations, scheduled jobs, and database-driven tools.
This period built the foundation for later AI integration and automation work:
reliable backend systems, clean databases, workflow logic, admin interfaces,
reporting, integrations, and secure application design.