Freelancers using Google Apps in Multan
Freelancers using Google Apps in Multan
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Ahmad Shahzaib
pro
Multan, Pakistan
Senior Full-Stack Engineer | Laravel, MERN & SaaS MVP Expert
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Senior Full-Stack Engineer | Laravel, MERN & SaaS MVP Expert
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ØreSound - Festival Management & Navigation App Created ØreSound, the ultimate festival companion app providing real-time information, interactive maps, and food ordering. Built with React Native for cross-platform deployment, featuring GPS-enabled festival maps with vendor locations, zone tracking, food & beverage ordering with payment integration, real-time order tracking with countdown timers, festival program schedules with artist profiles, downloadable program for offline access, and push notifications. Integrated Google Maps API, WebSocket for live updates, and payment gateway. Enhanced festival experience with seamless ordering.
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104
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Socialoop is an AI-powered SaaS platform that helps businesses automate social media content creation, scheduling, and publishing workflows. I developed the platform architecture, user dashboard, automation system, subscription features, and AI-powered content generation workflows. The solution helps businesses streamline social media management and improve productivity.
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ProlificEx is a peer-to-peer crypto trading platform that enables users to buy and sell digital assets securely. I developed the trading dashboard, user management system, wallet integration, transaction workflows, and responsive frontend. The platform focuses on security, scalability, and a smooth trading experience while providing real-time market interactions.
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Developed a professional website for a UK-based beauty training academy. The platform showcases training courses, student information, enrollment processes, and academy services. I implemented a responsive design, optimized performance, improved user experience, and ensured seamless accessibility across devices.
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49
Google Apps
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Rashid Khabeer
Multan, Pakistan
Full-Stack Agentic AI Dev | n8n • Make • GHL Automation
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Full-Stack Agentic AI Dev | n8n • Make • GHL Automation
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Built an AI Agent Using Google Agent Designer; No Code Required I explored Google Agent Designer, Google's no-code/low-code platform for building AI agents inside Gemini Enterprise. Here's what I did: 1- Described my agent's goal in plain English 2- Connected it to Gmail and Google Drive 3- Built a multi-step automated workflow visually 4- Tested it live using the built-in preview No programming. No complex setup. Just ideas turned into a working AI agent. This project shows how modern AI tools are making automation accessible to everyone, not just engineers. What I learned: Google Agent Designer is surprisingly powerful for non-developers. If you can describe a task, you can automate it.
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The MCAT King of the Curve project is a sophisticated RAG-based (Retrieval-Augmented Generation) backend designed to revolutionize how medical students interact with vast amounts of unstructured study data. Built using Python and OpenAI, the system addresses the challenge of static, overwhelming notes by allowing users to upload diverse file formats—including PDFs, Excel, and images—and transform them into a searchable, interactive knowledge base. By utilizing ChromaDB for vector embeddings and semantic search, the platform provides highly accurate, source-grounded answers in under three seconds, effectively eliminating AI hallucinations. Beyond simple Q&A, the backend features a specialized "Classroom Mode" that auto-generates MCAT-style questions across varying difficulty levels, offering a gamified, scalable, and secure environment that prioritizes data isolation and high-performance reliability for high-stakes exam preparation.
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163
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Developed a comprehensive, end-to-end automation engine using n8n to replace slow, error-prone manual profit margin calculations with real-time, data-driven visibility. The system synchronizes order data across ShipStation, BigCommerce, and major marketplaces like Amazon and Walmart, integrating complex logic for item-level costs, multi-currency conversions (via Frankfurter API), and customer-specific discounts within Airtable. This automation reduced processing time to seconds per order and eliminated manual entry errors. Key strategic features include a low-margin detection system with an integrated team review workflow, automated management reporting, and a robust architecture handling deduplication and missing data fallbacks. The solution provides immediate, reliable profitability insights for pricing and operational decision-making.
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Built JuvaBun, an AI-powered sales chatbot for a hair extensions e-commerce site, designed to automate customer conversations and drive conversions. The bot answers product questions, asks guided follow-ups, and recommends products based on hair type, budget, and user intent. Integrated rich product content including images, videos, reviews, and comparisons to reduce buyer hesitation. Implemented checkout link sharing, abandoned-chat follow-ups, and upsell flows for higher-value bundles. Designed the system with intent detection, fallback handling, and conversation recovery to avoid dead ends, improving engagement while reducing manual sales effort.
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163
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