Freelancers using Node.js in SindhFreelancers using Node.js in Sindh
Full-Stack & AI Developer | Next.js, AI Agents
$50k+
Earned
12x
Hired
5.0
Rating
243
Followers
Full-Stack & AI Developer | Next.js, AI Agents
Full-Stack & AI Developer | Next.js, AI Agents
$25k+
Earned
7x
Hired
5.0
Rating
54
Followers
Full-Stack & AI Developer | Next.js, AI Agents
Senior Full-Stack & Web3 Engineer | Technical Lead
$1k+
Earned
1x
Hired
5.0
Rating
20
Followers
Senior Full-Stack & Web3 Engineer | Technical Lead
Product Design, Growth and Developer | E-Books and Software
5.0
Rating
11
Followers
Product Design, Growth and Developer | E-Books and Software
Cover image for Signal: AI-Powered Sales Development and
Signal: AI-Powered Sales Development and Outreach Platform I designed Signal as a full-stack AI sales development platform that helps teams discover prospects, manage outreach sequences, prioritize conversations, and convert engagement into qualified meetings. Instead of spreading sales activities across disconnected tools, Signal brings prospect research, communication, automation, and performance reporting into one focused workspace. The visual identity uses a pitch-black interface with subtle violet, teal, green, and amber accents. Flat panels, restrained borders, professional outline icons, and generous spacing give the product a confident, human-designed appearance. Color is used functionally to distinguish active sequences, positive responses, scheduled meetings, prospect scores, and automation statuses without overwhelming the interface. The main dashboard provides an immediate overview of active prospects, emails sent, reply rates, and meetings booked. Outreach performance is displayed through clean charts, while campaign tables highlight prospect volumes, delivery activity, and response rates. A dedicated research queue shows the work currently being completed by the sales agent without relying on distracting animations or exaggerated AI visuals. The Prospects screen operates as the central lead database. Users can search and filter contacts, review company information, examine buying signals, compare qualification scores, and track each prospect’s latest activity. Qualified prospects can be moved directly into outreach sequences, creating a connected workflow from discovery to engagement. The Sequences workspace enables teams to build and monitor structured, multi-step campaigns across email and LinkedIn. Every sequence presents its delivery schedule, prospect volume, open rate, reply rate, meetings generated, and current operating status. The connected Inbox brings replies into one place, prioritizes high-intent conversations, and provides context-aware response suggestions that users can review, edit, or send. The AI Agent workspace gives users control over automated prospecting. Teams can define their ideal customer profile using industry, company size, geography, seniority, department, and buying-signal criteria. Guardrails and written instructions determine how prospects are researched, qualified, enriched, and prepared for outreach, while a live activity log keeps every automated action visible and accountable. The Analytics screen connects outreach activity to commercial outcomes. It tracks pipeline sourced, meetings booked, opportunities created, cost per meeting, funnel conversion, top-performing buying signals, and sequence-level performance. This allows sales leaders to understand not only how much activity is taking place, but which audiences, signals, and messages are producing meaningful results. The backend architecture is designed around a secure REST or GraphQL API layer built with Node.js and TypeScript. PostgreSQL stores users, workspaces, prospects, companies, sequences, messages, tasks, campaign events, and analytics records. Redis supports caching, background queues, rate limiting, and scheduled outreach, while asynchronous workers handle enrichment, qualification, message generation, email delivery, follow-ups, and CRM synchronization. AI capabilities are managed through a controlled orchestration layer that combines company data, prospect history, buying signals, sequence context, and user-defined instructions. Retrieval-based context can be used to ground generated messages in approved company information, while approval workflows, audit logs, prompt controls, and configurable sending limits provide operational oversight. Authentication uses secure session or token-based access with role-based permissions for administrators, managers, and sales representatives. External integrations can connect Signal with email providers, LinkedIn-compatible workflows, calendars, enrichment services, and CRM platforms such as HubSpot or Salesforce. Webhooks capture delivery, open, reply, bounce, booking, and opportunity events in near real time. Across the complete product, I prioritized clarity, practical automation, transparent AI assistance, and connected navigation between Dashboard, Prospects, Sequences, Inbox, AI Agent, Analytics, and Settings. The result is a modern sales development platform that feels focused, professional, scalable, and genuinely useful to the people responsible for building pipeline.
0
146
Cover image for Northstar CRM: Full-Stack Customer Relationship
Northstar CRM: Full-Stack Customer Relationship and Sales Management Platform I designed and developed Northstar CRM to transform customer relationship management into a focused, visually intuitive, and connected workspace. Instead of overwhelming sales teams with dense tables and fragmented tools, I structured the platform around clear customer insights, actionable sales data, and streamlined daily workflows. The visual identity combines a soft atmospheric background with glass-inspired surfaces, dimensional cards, and vibrant blue, teal, yellow, and charcoal accents. Carefully layered shadows, subtle gradients, and elevated components create a refined 3D appearance while maintaining clarity and professional usability. The entire interface follows a consistent 4:3 presentation ratio, making every screen suitable for portfolio displays and high-quality screenshots. The overview dashboard gives users an immediate picture of business performance. Key metrics—including total revenue, pipeline value, completed tasks, priority deals, recent activities, and upcoming meetings—are presented through scannable cards, progress indicators, compact charts, and contextual status colours. This allows teams to identify important changes and required actions without navigating through multiple reports. The customer management screen provides a searchable directory with company information, recent interactions, account value, relationship status, and assigned ownership. Selecting a customer dynamically updates the detailed profile panel, where users can review contact information, relationship health, next actions, and communication options such as messaging, calling, or scheduling a meeting. The deal pipeline organizes opportunities into clear stages, including Discovery, Proposal, Negotiation, and Closing. Each opportunity card displays its customer, estimated value, expected closing date, owner, and current stage. The Kanban-style structure gives sales teams a visual understanding of pipeline movement while supporting faster prioritization and opportunity management. The calendar and reporting screens connect operational planning with performance analysis. The calendar provides monthly scheduling, customer meetings, deadlines, focus time, and team commitments. The reporting workspace combines revenue trends, conversion rates, customer retention, pipeline sources, account health, and period-based performance comparisons through interactive charts and summary cards. On the backend, I implemented a modular Node.js and Express REST API connected to a PostgreSQL database. The data model supports users, customers, companies, contacts, deals, pipeline stages, activities, tasks, meetings, notes, and reporting records. Structured relationships and indexed queries ensure that customer histories, pipeline summaries, and dashboard analytics remain fast and consistent as the dataset grows. Authentication is handled through secure token-based sessions, password hashing, protected API routes, and role-based access control. Different permissions can be assigned to administrators, sales managers, and sales representatives, ensuring users only access or modify information relevant to their responsibilities. Input validation, centralized error handling, audit logging, and rate limiting strengthen reliability and application security. Real-time updates allow changes to deals, tasks, customer activity, and meeting schedules to appear across connected screens without requiring a manual refresh. Background processes handle reminders, notifications, scheduled follow-ups, and reporting calculations, while caching improves the performance of frequently requested dashboard metrics. Across the complete full-stack platform, I prioritized reusable frontend components, responsive layouts, secure API design, reliable data relationships, and consistent interaction patterns. The result is a modern CRM experience that feels premium and approachable while providing the technical foundation required for scalable customer management, sales execution, and business intelligence.
4
6
1.1K
Custom AI & Full-Stack Solutions for Startups and Businesses
Custom AI & Full-Stack Solutions for Startups and Businesses
Bringing Your Ideas to Life with Modern, Custom Websites
5.0
Rating
5
Followers
Bringing Your Ideas to Life with Modern, Custom Websites
Cover image for Syed Ahmer Shah built a
Syed Ahmer Shah built a versatile Taxi Booking & On-Demand Mobility Platform that combines passenger transportation and delivery services within a single cross-platform mobile application. The solution allows customers to arrange taxis, private vehicles, motorcycles, and various on-demand services through one unified digital ecosystem for Android and iOS. The project highlights expertise in Mobile Application Development, Ride Hailing App Development, Transportation Technology, Logistics Software Development, Custom Software Engineering, Backend Development, and UI/UX Design. The platform was engineered to support both everyday ride-booking requirements and broader delivery use cases without compromising usability or performance. Customers can request rides instantly, schedule trips in advance, view estimated fares, identify nearby drivers, and follow their journeys through live GPS tracking. Secure digital payments, trip history, driver ratings, and in-app communication provide a complete ride-booking experience. The platform also extends into parcel delivery, food delivery, courier operations, and other on-demand services, creating a multi-purpose super app for transportation and local services. The cloud-native backend manages GPS location services, real-time driver-passenger matching, intelligent route planning, payment processing, live trip updates, messaging, push notifications, and operational data synchronization. Dedicated dashboards give passengers, drivers, merchants, and administrators access to role-specific management tools. The architecture is designed for high availability, responsive performance, security, and scalable operation across Android and iOS devices. This project demonstrates Syed Ahmer Shah’s ability to create enterprise-level ride hailing systems, taxi reservation applications, logistics platforms, delivery solutions, mobility software, and scalable super apps for transportation companies, startups, logistics providers, and on-demand businesses. Technologies Used: React Native, Node.js, Express.js, Firebase, PostgreSQL, AWS Cloud, Google Maps API, Socket.io (http://Socket.io), REST APIs, Payment Gateway Integration, Push Notification Services. Services Provided: Mobile App Development, Android App Development, iOS App Development, React Native Development, Ride Hailing App Development, Taxi Booking App Development, Super App Development, Logistics Software Development, Delivery App Development, GPS Tracking Development, Backend Development, API Development, UI/UX Design, Cloud Infrastructure Development. Keywords: Ride Hailing App Development, Taxi Booking App Development, Super App Development, Mobile App Development, React Native Development, Android App Development, iOS App Development, Logistics App Development, Delivery App Development, Courier App Development, Mobility Platform Development, Google Maps API, Node.js, Firebase, PostgreSQL, AWS, REST API, Custom Software Development, Software Engineer.
1
27
Cover image for Syed Ahmer Shah developed an
Syed Ahmer Shah developed an intelligent AI-Powered Fitness & Workout Tracking Mobile Application designed to help users establish consistent exercise routines, follow customized training programs, and work toward their health and fitness objectives. The cross-platform solution combines personalized workouts, activity monitoring, performance analytics, and AI-driven recommendations within a streamlined experience for Android and iOS users. The project highlights expertise in Mobile Application Development, Fitness App Development, Healthcare Software Development, AI Application Development, Custom Software Engineering, Backend Development, and UI/UX Design. The platform was designed to provide users with a personalized digital fitness companion that adapts to their goals, abilities, and training preferences. Users can create detailed fitness profiles and select workout programs according to fitness level, personal objectives, workout duration, and targeted muscle groups. The application provides guided exercises while allowing users to record completed sessions, estimate calories burned, review historical activity, and analyze performance over time. AI-powered recommendations help personalize future workouts, while reminders encourage consistent training. Wearable and health-device integrations allow activity and wellness information to be synchronized across supported devices. The platform is supported by secure cloud infrastructure featuring user authentication, real-time data synchronization, workout and exercise management, health data connectivity, push notifications, subscription handling, performance analytics, and centralized administration. The admin dashboard enables authorized teams to manage users, trainers, exercise libraries, workout programs, subscriptions, and reporting. The architecture is built for reliable performance, security, and scalability across Android and iOS platforms. This project demonstrates Syed Ahmer Shah’s ability to develop AI-powered fitness applications, workout tracking platforms, healthcare software, wellness solutions, personal training applications, and customized mobile products for gyms, fitness startups, personal trainers, wellness companies, healthcare organizations, and digital health businesses. Technologies Used: React Native, Node.js, Express.js, Firebase, PostgreSQL, AWS Cloud, REST APIs, Health Data Integration, Wearable Device Integration, Push Notification Services, Subscription Management. Services Provided: Mobile App Development, Android App Development, iOS App Development, React Native Development, Fitness App Development, Workout App Development, Healthcare App Development, AI App Development, Backend Development, REST API Development, UI/UX Design, Cloud Infrastructure Development. Keywords: AI Fitness App Development, Workout Tracking App, Mobile App Development, React Native Development, Android App Development, iOS App Development, Healthcare App Development, Personal Trainer App, Gym App, Health & Wellness App, Node.js, Firebase, PostgreSQL, AWS, REST API, Custom Software Development, Cross-Platform App Development, Software Engineer.
1
57
Cover image for Syed Ahmer Shah developed a
Syed Ahmer Shah developed a feature-rich Online Learning & EdTech Mobile Platform that gives learners a flexible way to discover educational content, develop professional skills, monitor their progress, and earn digital certificates. The cross-platform application provides a structured and engaging learning environment for Android and iOS users. The project highlights expertise in Mobile Application Development, EdTech Software Development, Learning Management System (LMS) Development, Custom Software Engineering, Backend Development, and UI/UX Design. The platform was designed to support learners, educators, and training organizations with tools for delivering and managing digital education. Learners can explore courses across multiple categories, discover personalized recommendations, stream educational videos, complete quizzes and assessments, and monitor their overall learning activity. The application includes progress tracking, weekly study-hour monitoring, learning reminders, course bookmarking, enrollment management, digital certificates, and multi-device synchronization. Career-oriented learning paths help users follow structured programs focused on developing practical and in-demand skills. The platform is powered by secure cloud infrastructure supporting user authentication, video content delivery, course administration, learning progress synchronization, analytics, personalized recommendations, push notifications, subscription management, and certificate administration. An administrative dashboard provides centralized tools for managing students, instructors, educational content, certifications, and performance reports. The architecture is designed to provide a reliable, responsive, and scalable learning experience across Android and iOS. This project demonstrates Syed Ahmer Shah’s ability to develop EdTech applications, Learning Management Systems, digital course marketplaces, e-learning platforms, video-based education products, and customized education software for schools, universities, training providers, educators, online academies, and education startups. Technologies Used: React Native, Node.js, Express.js, Firebase, PostgreSQL, AWS Cloud, REST APIs, Video Streaming Integration, Push Notification Services, Learning Analytics. Services Provided: Mobile App Development, Android App Development, iOS App Development, React Native Development, EdTech App Development, Learning Management System (LMS) Development, Online Learning Platform Development, Backend Development, API Development, UI/UX Design, Cloud Infrastructure Development. Keywords: EdTech App Development, Online Learning App Development, Learning Management System Development, LMS Development, Mobile App Development, React Native Development, Android App Development, iOS App Development, Education Software Development, E-Learning Platform, Online Course Platform, Video Learning App, Student Progress Tracking, Certificate Management System, Node.js, Firebase, PostgreSQL, AWS, REST API, Custom Software Development, Software Engineer.
1
94
Cover image for Syed Ahmer Shah developed a
Syed Ahmer Shah developed a robust On-Demand Delivery & Logistics Mobile Platform designed to streamline courier operations, last-mile fulfillment, and delivery management by connecting customers, businesses, and delivery professionals within one unified ecosystem. The project demonstrates expertise in Mobile Application Development, Delivery Solutions, Logistics Software Development, Fleet Management Systems, Custom Software Engineering, Backend Development, and UI/UX Design. The platform was built to support businesses that require efficient order fulfillment, real-time visibility, and centralized control over delivery operations. Customers can arrange scheduled or on-demand deliveries, view delivery costs, monitor shipments in real time, complete secure payments, and receive automated status notifications. Delivery partners have access to dedicated tools for accepting delivery requests, planning efficient routes, navigating to destinations, managing availability, monitoring earnings, and reviewing completed jobs. Businesses can coordinate courier assignments, oversee active deliveries, analyze operational performance, and access real-time logistics insights. The cloud-native infrastructure powers GPS tracking, intelligent route planning, live order processing, driver and fleet management, payment gateway integration, push notifications, real-time delivery status updates, customer support, and role-specific dashboards. Separate interfaces for customers, couriers, merchants, and administrators ensure that each user group has the tools needed to manage its operations effectively. The platform is engineered for reliable synchronization, fast response times, and scalable performance across Android and iOS devices. This project showcases Syed Ahmer Shah’s ability to create courier applications, logistics management platforms, fleet management systems, last-mile delivery solutions, and customized on-demand delivery software for startups, logistics providers, retailers, eCommerce companies, and businesses with complex fulfillment requirements. Technologies Used: React Native, Node.js, Express.js, Firebase, PostgreSQL, AWS Cloud, Google Maps API, Socket.io (http://Socket.io), REST APIs, Payment Gateway Integration, Push Notification Services. Services Provided: Mobile App Development, Android App Development, iOS App Development, React Native Development, Courier App Development, Delivery App Development, Logistics Software Development, Fleet Management Software Development, Last-Mile Delivery Platform Development, GPS Tracking Development, Backend Development, API Development, UI/UX Design, Cloud Infrastructure Development. Keywords: Courier App Development, Delivery App Development, Logistics Software Development, Last-Mile Delivery Platform, Mobile App Development, React Native Development, Android App Development, iOS App Development, Fleet Management Software, Driver Management Platform, Google Maps API, PostgreSQL, Software Engineer.
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55