Financielle: - Award Winning Fintech App | 400K+ Downloads
Built a comprehensive financial management platform that helps UK users track expenses, manage budgets, and achieve financial goals. Winner of multiple UK fintech awards. Secure payment integration, real-time analytics, and intuitive UX drove rapid user adoption. This is what happens when technical excellence meets user-centric design.
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Scalable Event Booking Backend with Payments & Real-Time Chat
I built a scalable backend system for a social event booking platform that enables hosts to create events and guests to discover, join, and interact in real time.
The platform is currently generating over $60K+ in revenue, handling real users, payments, and live interactions.
🚀 Key Features & Contributions:
• Designed a multi-role system (Host & Guest) with secure authentication
• Built complete event lifecycle: creation, booking, participation, and reviews
• Integrated Stripe for payments, including wallet system for hosts
• Implemented payout flow allowing hosts to withdraw earnings
• Handled refunds, disputes, and transaction management
💬 Real-Time Communication:
• One-to-one chat between users
• Event-based chat for participants
• Group chat system for social interaction
• Media sharing (images, voice notes, events, reminders)
📈 Growth & Engagement Systems:
• Followers & following system (social graph)
• In-app notifications, email, SMS, and WhatsApp alerts
• Event promotion and user engagement features
⚙️ Performance & Scalability:
• Optimized backend to handle concurrent users and real-time messaging
• Designed scalable architecture for future growth
• Ensured secure and reliable payment processing
💡 Result:
A production-ready backend powering a live platform with thousands of users and $60K+ revenue, built for scalability, performance, and real-world usage.
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Turn Media OS is a custom client onboarding and project management platform for a website agency. It helps Turn Media sell website services and manage clients from purchase to launch.
Customers can select a website package, add services, sign an agreement, pay a deposit and access a client portal. The agency can manage proposals, projects, deliverables, payments and client communication.
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Little Bear Smocks: E-commerce
◆ Context & Challenge
The client needed a seamless e-commerce experience for selling premium children’s clothing across web and mobile, with easy product discovery, personalization, pre-orders, and a smooth checkout journey.
◆ Approach & Solution
We developed an integrated e-commerce experience combining a responsive online store with a dedicated mobile shopping app, making it easier for customers to browse, customize, pre-order, and purchase products.
Key focus areas:
‣ Intuitive product browsing and filtering
‣ Personalized and customizable products
‣ Pre-order and inventory availability
‣ Seamless mobile shopping experience
‣ Simple and user-friendly checkout
◆ Execution
‣ Built a responsive e-commerce storefront
‣ Developed iOS shopping application
‣ Implemented product filters and category navigation
‣ Added customization and pre-order functionality
‣ Integrated inventory and availability information
‣ Optimized the shopping and checkout experience
◆ Outcome & Impact
‣ Created a seamless web and mobile shopping experience
‣ Made product discovery faster and easier
‣ Simplified personalized and pre-order purchases
‣ Improved customer convenience and engagement
‣ Established a scalable digital storefront for growing product collections
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RentNest Mobile App Development
RentNest is a mobile app that helps Danish renters manage their lease documents, move-in/move-out photo documentation, and tenancy questions in one place.
I contributed as a Full-Stack Developer, building both the Flutter mobile client and the backend services powering document storage, photo management, and AI-assisted help with a focus on giving renters a reliable, all-in-one system for staying covered throughout their tenancy.
My Role
Full-stack development across Flutter mobile client and backend services Firebase integration for auth, data storage, and file handling
Feature implementation for document management, photo documentation, and AI-driven help Quality assurance and testing across core user flows
Technology
Flutter
Dart
Firebase
The work
The app was built around three core renter needs: keeping lease and financial documents organized, documenting the condition of a home at move-in and move-out, and getting fast, reliable answers to common tenancy questions.
On the document side, I built a categorized document library (Lease, Report, Bill, Correspondence) with search and file-type support for PDFs and other formats, so renters can quickly retrieve anything from their lease to deposit receipts and heating statements. For move documentation, I implemented a room-by-room photo capture flow with separate Move-In and Move-Out states, giving renters clear, dated visual evidence of a property's condition useful for resolving disputes at move-out.
I also worked on the AI help experience, which lets renters ask questions grounded in their own lease and get guided answers alongside a structured help center covering topics like deposits, notice periods, and maintenance responsibilities.
Using Flutter allowed the mobile app to be built and maintained from a single cross-platform codebase, while Firebase handled authentication, real-time data sync, and secure file storage for uploaded documents and photos. Alongside development, I carried out testing and quality checks across account creation, document upload, and photo capture flows to ensure a stable release.
Outcome
Delivered full-stack development for RentNest's renter-focused platform, including a Flutter mobile app with integrated document management, move-in/move-out photo documentation, and AI-assisted tenant support.
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309
Built and deployed my AI Engineering portfolio featuring a production-ready RAG assistant that lets visitors interact with an AI trained on my professional experience, projects, skills, and technical background.
The assistant uses FastAPI, LangGraph, Qdrant, Groq, and Python to retrieve relevant context and generate accurate, conversational responses. The portfolio itself is built with Next.js and Tailwind CSS, with the AI backend deployed separately and integrated through a live API.
This project demonstrates my ability to build and deploy complete GenAI applications—from vector search and RAG pipelines to backend APIs and production frontend integration.
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