Projects

The collaborative shopping-list app that started Rakkia — today it lives on as the GoShopping module inside it. Real-time shared lists, item categorization, price estimates, progress tracking and sharing with permission control. This is where Rakkia's architecture and product foundation began.

Professional lead generation page with service showcase, interactive ROI calculator, pricing packages, client section and contact form.

Institutional site for a beauty salon (hair extensions, lashes and brow design). Results gallery with category filters, an interactive carousel and direct WhatsApp scheduling — built to turn visits into clients.

Institutional site for a metalwork shop, built to be found and to convert. End-to-end SEO that already puts it at the top of Google for its name, backed by a Google Business profile and a 5.0 rating. Contact form with automatic email, plus WhatsApp and Google Maps integration. The goal isn't to win Vila Velha — it's to keep ranking wider.

Simplified WMS as a multi-tenant SaaS. Modern platform for automating supply flow management with shipping orders, inventory, digital signatures, real-time WebSocket notifications and native apps for Web, iOS and Android. Full rewrite of Manifestly in Go — clean architecture, multi-tenant and built to scale.

The original Manifestly, built in Python. Platform for automating logistics flows and documents — it digitizes paper-based processes with approvals, digital signatures and complete audit trails across teams. Later rewritten in Go as Manifestly WMS.

On the factory floor, non-conformities live on paper and spreadsheets — and the trail of who handled what disappears. This system turns that into a digital flow: occurrence logging, treatment between warehouse and purchasing, and a complete, traceable history.

Dashboards pulled straight from the warehouse floor: inventory, quality control, invoice reconciliation, freight analysis and non-conformities in one place — so you stop juggling loose spreadsheets and see what matters at a glance.

Buy or rent heavy machinery? This analysis answers with numbers: scenario projections, operational availability, per-equipment performance and a payback comparison — instead of deciding on gut feel.

A Python desktop app I built so the team could track warehouse requests without depending on IT: five tabs with visual KPIs, 8 interactive charts, period filters, material rankings and one-click report export to Excel and TXT.