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I worked on the frontend development of a Point of sale dashboard designed to simplify invoice management and business operations. The platform focuses on turning complex financial workflows into a clean, real-time, and easy-to-use interface.
The dashboard brings together invoice tracking,FBR invoicing, payment status monitoring, and multi-source data integration into a single unified system. The goal was to make financial data feel less like spreadsheets and more like a structured, visual workflow that users can act on instantly.
My role involved building a responsive, high-performance frontend using Next.js and modern UI practices, ensuring that every module—analytics, invoice lists, status tracking, and integrations—remains fast, intuitive, and scalable even with large datasets.
Key areas I focused on:
Designing a clean, data-heavy dashboard UI without overwhelming the user
Structuring reusable components for tables, filters, and analytics blocks
Handling real-time state updates for invoice status and financial data
Optimizing performance for large lists and frequent API updates
Building a consistent UX across desktop and mobile views
Ensuring smooth integration between frontend and backend financial services
The result is a production-ready dashboard that gives users full control over their invoices, payments, and financial insights in one place, without the usual complexity of traditional accounting tools.
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looks neat and clean
Red Dead Redemption 2 Game Dashboard Experience UI
Inspired by the cinematic world of Red Dead Redemption 2, this dashboard explores how a game interface can feel as immersive as the gameplay itself. The design blends deep reds, soft glows, and layered components to reflect the rugged yet emotional tone of the Wild West.
From tracking player progress and achievements to managing downloads and social interactions, every section is crafted to feel fluid, engaging, and story-driven—not just functional. The goal was simple: turn raw gaming data into an experience that feels alive and personal.
If your product needs to transform data into immersive storytelling,
Get in touch with us.
Wow this is good
Excited to share some of the backend work I've been doing lately with Supabase! 🚀
Here's a look at what went into building a production-ready backend from scratch:
🗄️ Database Schema Design
Designed a relational schema with multiple interconnected tables: profiles, notes, reminders, conflicts, and a dedicated user_keys table for encryption key management. Every table has proper foreign key relationships, timestamps, and nullable/non-nullable constraints enforced at the DB level.
🔒 Row Level Security (RLS)
Every single table has RLS enabled with two policies: users can only access their own rows, and anonymous access is blocked entirely. No exceptions. Security is enforced at the database layer, not just the application layer.
🔑 Auth & Email Flows
Set up Supabase Auth with email + OAuth support, including full PKCE flow for secure token exchange. Configured deep link redirects for email confirmation and password reset flows, all tested end to end.
⚡ Edge Functions
Built and deployed multiple Supabase Edge Functions handling AI processing pipelines, including JWT validation at the top of every function before any processing begins. The OpenAI API key lives exclusively in Supabase secrets, never in the app or any config file.
🔄 Merge Pipeline
Built a follow-up note merge pipeline as an Edge Function. New facts are appended to existing profiles, duplicates are detected and skipped, conflicts are logged, and resolved reminders are handled gracefully.
📦 Migrations
All schema changes go through versioned migration files under source control. No manual dashboard changes. CI/CD triggers migrations automatically on merge to main.
🔐 Encryption Architecture
Client-side AES-GCM encryption via CryptoKit. Plaintext never sits in the database. Encryption keys are stored in a dedicated RLS-scoped table, fetched after login, and held in memory only for the session duration.
Still a lot more to share about this project. Excited to talk about it publicly when it launches! 👀
Interesting work! Nice 🔥 Have there been any bottlenecks so far in testing?
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