Projects using GraphQL in PunjabProjects using GraphQL in Punjab
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Cover image for E-Commerce Platform for Frame Fitness
E-Commerce Platform for Frame Fitness Live Role: Senior Frontend Engineer (Freelance) Tech Stack: React.js, GraphQL, Shopify API, Stripe, REST APIs, Context API, Figma Project Link: https://framefitness.com/ The Technical Challenge Frame Fitness is a luxury brand retailing high-end Pilates Reformers. The digital imperative was a high-conversion platform that felt as premium and seamlessly engineered as the physical hardware itself. The technical challenge lay in building a rock-solid frontend architecture capable of securely processing high-ticket transactions and managing dynamic media content, all while maintaining 100% brand integrity, smooth micro-interactions, and zero performance latency. Key Contributions 1. High-Fidelity UI Development & Brand Integrity: Translated intricate Figma specifications into a pixel-perfect, fully responsive interface. Assumed complete "Frontend-Only" ownership of the presentation layer, ensuring that every transition, animation, and typographic choice flawlessly reflected the premium, luxury aesthetic of the brand across all device spectrums. 2. Hybrid Data Architecture (GraphQL & REST): Engineered a high-performance hybrid data pipeline to power the platform's dynamic blog and content system. Implemented GraphQL to fetch real-time content assets directly from Shopify, while utilizing RESTful APIs for core transactional product data, keeping the client-side bundle lightweight without sacrificing backend flexibility. 3. Secure Custom Checkout Integration: Owned the integration of Stripe within a completely customized checkout workflow. Developed robust asynchronous state management logic to handle high-value transactions securely, eliminating data friction and ensuring a flawless, trusted buying experience for high-ticket customers. 4. Cross-Functional Contract Engineering: Managed the entire frontend lifecycle while collaborating closely with a Django backend engineer. Jointly established and documented strict API data contracts between the UI and the server layer, ensuring robust data validation, smooth handoffs, and absolute production stability.
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Cover image for Web3 Governance Agent Web3 Governance Agent Introduction A
Web3 Governance Agent Web3 Governance Agent Introduction A custom AI agent built for Web3 consultant Tanisha Katara. It autonomously monitors governance proposals across major chains like Ethereum, Mantle, and Arbitrum. The agent detects new proposals or status changes, drafts tweets, and allows for human-in-the-loop approval before posting, ensuring she stays ahead of the news cycle without the manual fatigue. The Noise Manual Tracking is Impossible Monitoring 10+ protocols like Arbitrum and Mantle manually means missing critical votes. We needed an observer that never sleeps. The Brain n8n + Gemini I built workflows in n8n to scrape Tally & Snapshot. The data feeds into Gemini to draft tweets that sound exactly like Tanisha. Full Coverage Tally, Snapshot & GitHub It doesn't just watch one source. The agent monitors Snapshot for sentiment checks, Tally for on-chain execution, and GitHub for technical proposal discussions. Live Execution Real-time proposal detection and tweet generation workflow running in n8n. Human-in-the-Loop Trust but Verify The AI doesn't post blindly. I built a custom dashboard where drafts sit in a queue. Tanisha can edit, approve, or reject them. It gives her the speed of AI with the safety of manual review. Let's build your next automation Reach out if you'd like to collaborate on AI agents or Web3 automations. I'm all ears.
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Cover image for Lango
Lango
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