Zeeshan Gardezi - AI Developer | ContraWork by Zeeshan Gardezi
Zeeshan Gardezi
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Zeeshan Gardezi

Full-Stack AI/ML Engineer | Web & Mobile Apps | SaaS & MVPs

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Zeeshan is ready for their next project!

Cover image for Project Title: ASAPP CRM —
Project Title: ASAPP CRM — AI-Powered Real Estate Lead Management Short Description: A role-based real estate CRM that centralizes lead capture, assignment, follow-ups, communication, reporting, and AI-powered sales workflows. Project Description: I led the full-stack development of ASAPP CRM, a real estate sales platform designed to help teams manage leads, communication, follow-ups, and daily operations from one centralized system. The Challenge Real estate teams were receiving leads from multiple channels and relying on disconnected tools for assignment, communication, and follow-ups. This made it difficult to track lead activity, maintain accountability, and respond to opportunities on time. The Solution I helped create a scalable CRM platform featuring: • Role-based dashboards for administrators, managers, and agents • Automatic lead capture from social channels • Round-robin and manual lead assignment • Complete activity history when leads are transferred • SMS, WhatsApp, and email communication from the lead profile • Follow-up calendar for overdue, upcoming, and completed activities • Real-time lead pipeline and conversion monitoring • AI-powered lead scoring and sales forecasting • Next-best-action recommendations • AI chatbot for lead qualification • Context-aware email and SMS drafting • Mobile access and live lead-count widgets The Result ASAPP CRM gave sales teams a clearer view of their pipeline, improved lead ownership, and made follow-ups easier to manage. Its automated follow-up workflow also helped reduce the missed-meeting ratio by 2%. My Role: Lead Full-Stack Developer Skills: CRM Development, TypeScript, Node.js, Express.js, MongoDB, REST APIs, RBAC, AI Integration, Workflow Automation
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Cover image for Building an AI-Powered Platform for
Building an AI-Powered Platform for Conversations Across Languages What happens when two people need to communicate but don’t speak the same language? I am working on an AI-powered multilingual communication platform designed to make conversations easier across language barriers. The platform allows a user to speak or type a message in their preferred language. It processes the input, translates the message, and returns the result as both readable text and generated audio. When automated translation is not enough for a complex or sensitive conversation, the experience can also provide access to additional human language support. My contribution focused on strengthening the technical foundation behind this experience, including: Voice-to-text processing Multilingual translation Text-to-speech generation Native-script transcription Backend performance Concurrent request handling Web and mobile consistency Testing and feedback workflows One of the biggest challenges was ensuring that the product did more than simply list multiple languages as “supported.” It also needed to: Process different writing systems Produce understandable native-script output Maintain translation and transcription quality Generate consistent audio responses Handle multiple language-processing tasks efficiently Provide a reliable experience across web and mobile devices I approached the platform as a complete communication system rather than a collection of disconnected AI features. Translation quality, speech processing, backend architecture, accessibility and human support all needed to work together to create a useful experience. Over the next few weeks, I’ll share more about how I approached multilingual transcription quality, backend scalability and speech integration while protecting client confidentiality. This case study contains recreated visuals and anonymized technical information. The client identity, product name, original interface, user information and proprietary workflows have been intentionally excluded. What do you think is the biggest challenge when building a multilingual product: accuracy, response time or accessibility?
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Transportive | Luxury Ride Booking & Transport Management Platform
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Raydan Full-Stack Food Delivery App | React Native + Angular + .NET A complete food ordering ecosystem serving customers, drivers, kitchen staff, and admins all in one platform. Problem, Solution, Result Problem: Restaurants needed a unified digital system to manage online orders, deliveries, branch pickups, and kitchen operations in real time, across mobile and web. Solution: Built RaydanFood a full-stack, multi-role food ordering platform covering every touchpoint from customer to kitchen, deployed on iOS, Android, and Web. Result: A scalable, production-ready system with real-time tracking, multi-branch support, and five fully functional user roles running on a single backend. Key Features Cross-platform mobile app — iOS & Android (React Native) Web dashboard — Angular JS for admin and dispatcher management Real-time order tracking — live status updates from placement to delivery Flexible ordering — Home Delivery, Branch Pickup, or Scheduled Orders Favorites system — save dishes and reorder in one tap Full order history accessible anytime Five user roles — Customer, Driver, Admin, Dispatcher, Kitchen Kitchen Display System — real-time order queue for kitchen staff Driver app — live assignment, navigation, and delivery updates Scalable backend — .NET + Entity Framework + MySQL Tech Stack LayerTechnologyMobile (iOS & Android) React Native Web Frontend Angular js Backend .NET (http://JSBackend.NET) / Entity Framework Database MySQL. User Roles Customer : Order, track, favorites, history, pickup or delivery Driver: Receive assignments, navigate, update delivery status Admin: Full platform control users, menus, branches, analytics Dispatcher: Route orders and assign drivers Kitchen: Real-time order queue display Skills & Tags React Native Angular JS .NET Entity Framework MySQL Full Stack Development Mobile App Development Food Delivery App REST API Cross-Platform iOS Android Multi-Role System Ideal Client Restaurant chains needing a digital ordering system Food delivery startups building from scratch Businesses needing mobile, web, and backend in one project On-demand platforms with multiple user roles Have a similar project in mind? I build full-stack platforms that are scalable, clean, and ready for real users. Let's talk.
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