Explanation: Delivered a production-ready SaaS analytics MVP dashboard for a startup. My responsibilities included frontend development using Next.js 14 and Tailwind CSS, backend architecture with Supabase Auth & DB, and integrating realtime data streaming (WebSocket) for dynamic charts. Reduced the standard development sprint from 6 weeks to 3 weeks, resulting in the client securing initial user feedback 50% faster than their internal roadmap anticipated. This highlights speed and scalability for early-stage ventures.
Save hours of manual administrative work with AI automation.
I built this independent AI automation prototype to demonstrate how an administrative quality review process can be streamlined using n8n, OpenAI, Gmail, and Supabase.
Instead of manually receiving emails, checking attachments, reviewing documents for missing information, recording case details, deciding whether a follow-up is required, and writing follow-up emails, the workflow automates these repetitive steps.
The workflow:
Gmail Intake → Document Routing & Extraction → AI Quality Review → Case Record & Decision → Professional Follow-up Email
The AI analyzes the submitted information, identifies missing or inconsistent data, structures the results, and determines whether a follow-up is required. If necessary, it automatically generates a polished follow-up email for the management team.
The goal is simple: reduce hours of repetitive administrative work, speed up the review process, and allow teams to focus on work that actually requires human judgment.
This is an independent portfolio prototype using fictional/sample data. It is not an official ISYS system, project, or client engagement, and is not affiliated with ISYS Solutions.