Freelance Data Visualizers in Islamabad Capital TerritoryFreelance Data Visualizers in Islamabad Capital Territory
Data Warehouse Engineer | Cloud Enthusiast | Data Engineer
Data Warehouse Engineer | Cloud Enthusiast | Data Engineer
I design SaaS products that turn visitors into customers
6
Followers
I design SaaS products that turn visitors into customers
Software engineer skilled in data analysis, machin
Software engineer skilled in data analysis, machin
AI SaaS Dev | LLMs, Agents, Voice & Automation | Web, Mobile
1x
Hired
5.0
Rating
3
Followers
AI SaaS Dev | LLMs, Agents, Voice & Automation | Web, Mobile
Cover image for OCR Receipt Parsing Microservice (AI-Powered
OCR Receipt Parsing Microservice (AI-Powered Backend System) Most receipt-based systems fail because the data is messy, inconsistent, and spread across formats that machines don’t naturally understand. People don’t realise it, but the real problem isn’t capturing receipts, it’s turning them into reliable, structured data that can actually be used. This system removes that friction entirely. You send a receipt (image or PDF), and it comes back as clean, structured JSON ready to plug into any workflow. The core problem it solves: Receipt data is chaotic. Different formats, inconsistent naming, missing structure, and OCR noise make it hard to extract anything usable. Even when OCR works, the output is raw text, not something you can build logic on top of. This project builds a full processing layer that doesn’t just read receipts, it understands and standardises them. What was built: A backend microservice that acts as a structured data engine for receipts. The system accepts images or PDFs via an API, runs OCR, extracts merchant details, dates, totals, and line items, and converts everything into a strict JSON schema. But the real value sits in what happens after OCR. A normalization layer cleans and standardises item names so inconsistent inputs like “BANANA”, “Bananas”, or “Banana 1lb” all map to a single canonical item. Quantities and prices are cleaned, structured, and validated so the output becomes consistent across different stores and formats. The system can also plug directly into Airtable, pushing structured items into a live database, enabling automated workflows like pantry tracking, expense logging, or analytics pipelines without needing a full backend system. Everything is exposed through a simple /parse-receipt API, making it easy to integrate into mobile apps, SaaS products, or internal tools. Technical architecture: FastAPI-based microservice designed for simplicity and performance, with OCR powered by Tesseract or cloud services like AWS Textract and Google Vision depending on accuracy requirements. The parsing layer combines rule-based extraction with AI-assisted cleanup to handle real-world receipt noise. The system is fully containerized using Docker, deployable on platforms like Render or Heroku, and comes with OpenAPI (Swagger) documentation for quick testing and integration. Designed as a stateless service, it avoids database complexity and instead integrates with external systems (like Airtable), making it lightweight and easy to scale. Business value built in: This isn’t just an OCR tool, it’s a data standardization engine. The same system can power expense tracking apps, inventory systems, meal planning products, or financial analytics platforms. Because the parsing and normalization layers are modular, the microservice can be exposed as a standalone API, creating opportunities for reuse across multiple products or even external licensing.
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153
Full Stack Developer| n8n | Framer| Kajabee| Webflow Expert
1x
Hired
50
Followers
Full Stack Developer| n8n | Framer| Kajabee| Webflow Expert
CTO | AI, Three.js, Web, Mobile & SaaS Product Expert
New to Contra
CTO | AI, Three.js, Web, Mobile & SaaS Product Expert
Cover image for Innovative 3D Jewelry Configurator Showcasing Premium Designs
Interactive 3D Jewelry Configurator & Product Showcase Full Description Developed a premium 3D Jewelry Configurator that enables customers to explore and personalize jewelry through an immersive browser-based experience. The platform features real-time 3D visualization, interactive product rotation, metal customization, realistic gemstone rendering, smooth animations, and responsive controls. Built using modern WebGL technologies to deliver a luxury digital showroom that enhances customer engagement and online product presentation. Similar configurators are increasingly used by jewelry brands to let customers preview metals, gemstones, and designs before purchase. Role Senior Full Stack Three.js Developer Work Description Led the end-to-end development of a luxury 3D Jewelry Configurator, creating an immersive digital experience for showcasing premium jewelry collections. Built the interactive frontend using React, Three.js, React Three Fiber, TypeScript, WebGL, and GSAP, enabling photorealistic rendering, real-time material customization, smooth animations, and responsive 3D interactions. Optimized 3D assets and rendering pipelines to deliver a fast, high-quality experience across desktop and mobile while maintaining scalability for future product collections. Technologies React • Three.js • React Three Fiber • TypeScript • WebGL • GSAP • GLTF/GLB • HDR Lighting • PBR Materials • Node.js • REST APIs Key Contributions Built a luxury 3D jewelry experience Real-time metal & material customization Photorealistic gemstone rendering Smooth 360° product interaction Performance optimization for WebGL Responsive cross-device experience
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Cover image for Interactive 3D Car Configurator &
Interactive 3D Car Configurator & Vehicle Customization Platform Description Led the end-to-end development of a browser-based 3D Car Configurator & Vehicle Visualization Platform, delivering a premium digital showroom experience for automotive businesses. Architected and developed the interactive frontend using React, Three.js, React Three Fiber, TypeScript, WebGL, and GSAP, enabling real-time vehicle customization with dynamic colors, materials, wheels, accessories, and 360° camera controls. Designed scalable backend services with Node.js, Express, and REST APIs to manage vehicle data, product variants, configurations, and business logic. Optimized 3D models using GLTF/GLB, HDR environments, PBR materials, texture compression, and lazy loading to achieve smooth performance across desktop and mobile devices. Technologies React • Three.js • React Three Fiber • TypeScript • WebGL • GSAP • Node.js • Express.js • REST APIs • GLTF/GLB • PBR Materials • HDRI • Git Key Contributions Architected the complete 3D configurator Built immersive real-time vehicle customization Developed scalable backend APIs Optimized rendering performance and asset loading Implemented responsive cross-device experience Delivered a production-ready automotive visualization platform Features Real-Time Vehicle Customization Interactive 3D Visualization Color & Material Selection Wheel & Rim Configurations Accessory & Variant Management 360° Camera Controls Performance Optimization Responsive Web Experience Backend API Integration Scalable Architecture
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Data Scientist & Analyst | Project Manager
New to Contra
Data Scientist & Analyst | Project Manager