Fintech SaaS Dashboard UI - AI Risk Analysis
Exploring a modern AI-powered finance dashboard built for transaction monitoring and intelligent risk analysis.
This dashboard experience allows users to manage financial activities while an integrated AI assistant surfaces important insights, suspicious behaviors, and transaction risks in real time.
The interface was designed to feel lightweight, clean, and scalable while handling complex financial workflows and large amounts of data.
✨ Features Included:
• AI Risk Detection
• Financial Analytics
• Transaction Monitoring
• Smart Alerts & Insights
• Risk Distribution Charts
• Minimal Dashboard UI
• Enterprise SaaS Experience
AI Home Services App — Smart Technician Booking & Repair
A premium AI-powered home services app designed to simplify how people diagnose home problems, find the right service, and book qualified technicians.
The product uses AI to turn a simple problem description into a clear service recommendation — helping users move from “What’s wrong?” → “What do I need?” → “Who can fix it?”
Key Experience
→ AI-powered problem diagnosis
→ Text, voice & photo input
→ Smart service recommendations
→ Technician discovery & booking
→ Transparent service information
→ Real-time technician tracking
→ Premium, intuitive mobile experience
The concept is designed for founders building AI home-service platforms, technician marketplaces, repair apps, and SaaS products where reducing friction and improving the booking experience can create a stronger customer journey.
Role: Product Designer
Focus: AI Product Design · UX/UI · Mobile App Design · Service Marketplace
Building AI for healthcare leaves zero room for error.
I’m currently collaborating with an incredible team on Raphald AI, a medical detection application. Building the systems for a project with stakes this high is a massive reminder that the underlying backend architecture matters just as much as the machine learning model itself.
When integrating diagnostic AI, your API endpoints cannot drop requests, and your database workflows demand absolute integrity. You aren't just passing JSON payloads; you are handling critical, real-time workflows where stability is non-negotiable.
Engineering these systems continues to shape my approach to building robust Python backends. If you are developing a product that requires reliable AI integration or rock-solid FastAPI infrastructure, check out the newly updated services on my profile. Let's build something that works when it counts.
Built a reporting workflow that brings Shopify sales data, Meta Ads spend, and COGS into one automated Google Sheets P&L.
The workflow:
🛍️ Shopify API → Sales, orders, refunds & product data
📣 Meta Ads API → Advertising spend & campaign data
📁 Google Drive → COGS file uploads
⚙️ Google Sheets + Apps Script → Data cleaning, calculations & reporting
The final P&L can track:
• Revenue
• COGS
• Gross Profit & Margin
• Ad Spend
• Net Profit
• Product-level profitability
The goal is simple: reduce manual reporting and give the business a clearer view of actual profitability.
Built by Skillytics Consulting for practical ecommerce analytics and automation.