Freelancers using Node.js in KarachiFreelancers using Node.js in Karachi
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Muhammad Hassan's avatar
Muhammad Hassan
proKarachi, Pakistan
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
Cover image for Automatic Rules Set for creating tasks
Automatic Rules Set for creating tasks
0
4
Cover image for Web Development Bootcamp 2023 - Certificate
Web Development Bootcamp 2023 - Certificate
0
55
Cover image for Frontend Lead & AI Developer @ Chronicler Labs
Frontend Lead & AI Developer @ Chronicler Labs
1
242
Cover image for Rebuilding NestLink's Real Estate SaaS Platform
Rebuilding NestLink's Real Estate SaaS Platform
2
91
Node.js(2)
Faarid Qureshi's avatar
Faarid Qureshi
proKarachi, Pakistan
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
Cover image for LiveBazaar - Live Ecommerce Platform
LiveBazaar - Live Ecommerce Platform
1
17
Cover image for Project X - AI-Powered Hiring Platform MVP
$1.5K+ earned
Project X - AI-Powered Hiring Platform MVP
0
20
Cover image for Sawda AI - AI-Assisted Trading MVP
Sawda AI - AI-Assisted Trading MVP
0
19
Cover image for Maqsad - Large-Scale EdTech Mobile Application
Maqsad - Large-Scale EdTech Mobile Application
1
24
Node.js(4)
Maaz M.'s avatar
Maaz M.
Karachi, Pakistan
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 I designed this website for
I designed this website for an AI studio that builds voice agents, chat agents and automation for businesses. The challenge was to make AI feel friendly and tangible to owners who have never heard an AI agent handle a phone call. The hero headline, "Your front office, answered by…", completes itself with rotating phrases in cobalt blue. The layout is clean and airy, with a soft periwinkle glow, a bold geometric typeface and a floating pill-shaped navigation bar. The centrepiece is the "Meet the Agents" showcase. I gave each AI agent a character and personality: Tom for real estate, Aria for marketing and Anna for private clinics. Each has a 3D illustrated figure, its own colour scheme and a giant typographic backdrop naming its industry. Visitors can switch between agents or start a live voice conversation in the browser, with microphone and speaker controls. Services are laid out as a bento grid of six tiles. Each opens a "see it work" window that explains how the service works, what's included and how to get started, so the details are there without crowding the main page. Past projects appear as stacked case study cards that layer on top of each other as you scroll, each showing a real dashboard preview. A bold cobalt band makes the business case, "Every missed call is a competitor's booked job," and it's followed by results, a dark process section titled "Live in weeks, not quarters," and a focused FAQ.
1
0
117
Cover image for Kodsinc Home Services CRM I designed
Kodsinc Home Services CRM I designed and built this AI-first CRM for home service businesses such as HVAC, plumbing and roofing companies. The goal was to make a powerful system feel simple for teams who are busy in the field, not sitting at desks. The product is organised around real daily work rather than generic CRM modules. The Call Desk shows the AI in action: it detects emergencies, streams the transcript live, extracts lead details automatically, suggests the next question and offers available emergency time slots. I kept the interface light and clean, with a deep green sidebar and soft mint accents, so dense information stays readable. Every screen uses realistic data and workflows instead of placeholder dashboards. The system covers the full customer journey: an inbox, a visual pipeline, contact profiles and good/better/best proposals with financing. It also includes automated follow-up cadences, performance reports and a trainable AI agent with its own knowledge base. Each feature answers one practical question: what needs attention now, who to call next and how to close the job. That keeps the product focused on what matters.
0
126
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
Node.js(4)
Fatima Farooq's avatar
Fatima Farooq
Karachi, Pakistan
Custom AI & Full-Stack Solutions for Startups and Businesses
Custom AI & Full-Stack Solutions for Startups and Businesses
Cover image for Welli AI Healthcare Platform Development
Welli AI Healthcare Platform Development
0
8
Cover image for AI Automation Platform Development for Mars
AI Automation Platform Development for Mars
0
8
Cover image for AtomChat Real-Time Communication Platform Development
AtomChat Real-Time Communication Platform Development
0
8
Cover image for Ember: AI-Powered Investigation Platform Design
Ember: AI-Powered Investigation Platform Design
0
1
Node.js(3)
Abdul Wahab's avatar
Abdul Wahab
proKarachi, Pakistan
Lead Full Stack Developer | AI/ML Engineer | Data Scientist
New to Contra
Lead Full Stack Developer | AI/ML Engineer | Data Scientist
Cover image for I am a senior full-stack
I am a senior full-stack developer and technical lead with 8 years of experience building scalable web and mobile applications. My expertise includes AI/ML-powered solutions, LLM integrations, automation, and AI-assisted development. I work with React, Next.js, Node.js, Express, Angular, Python, Go, TypeScript, JavaScript, MongoDB, PostgreSQL, etc. I am pursuing a master's in AI. I build cross-platform mobile apps using React Native & Flutter, solving complex technical problems.
0
50
Cover image for IoT Healthcare System Development for SmartCare IoT
IoT Healthcare System Development for SmartCare IoT
0
3
Cover image for Telemedicine Platform for MediConnect Health
Telemedicine Platform for MediConnect Health
0
2
Cover image for Remote Patient Monitoring System for VitalCare Health
Remote Patient Monitoring System for VitalCare Health
0
4
Node.js(4)
Hammad Tariq's avatar
Hammad Tariq
Karachi, Pakistan
Senior Full-Stack Engineer for SaaS & AI Products | 10+ Year
New to Contra
Senior Full-Stack Engineer for SaaS & AI Products | 10+ Year
Cover image for Serene Islamic Sanctuary
Serene Islamic Sanctuary
1
3
Cover image for Social Followers is an e-commerce
Social Followers is an e-commerce platform built to sell social media marketing packages for Instagram, TikTok, YouTube, and Facebook. The business needed a fast, low-risk way to validate demand and start taking orders before investing in full supplier automation. I delivered a focused first release with a service catalog, guest and registered-user carts, price-locked checkout, Stripe payments, order tracking, an admin fulfillment dashboard, wallet refunds, and queued email notifications. The system is also structured for future integration with external service providers. I built the platform with Next.js, React, TypeScript, PostgreSQL, Drizzle ORM, Stripe, Tailwind CSS, and Jest. Verified Stripe webhooks are the source of truth for payments, while database transactions and idempotency controls prevent duplicate payment attempts and orders. Item-level state management supports partial fulfillment and automatic wallet credits when a service fails. I also implemented JWT authentication, role-based access, email verification, password recovery, rate limiting, localization, responsive interfaces, and automated tests for the main purchase flow and edge cases.
0
104
Cover image for Built Generaxi, a live SaaS
Built Generaxi, a live SaaS platform unifying 65+ AI models (OpenAI, Gemini, Claude, Replicate, ElevenLabs) for text, image, video & audio generation in one app. Engineered API orchestration so users switch models mid-chat without losing context. Built secure image-to-video upload pipeline, tiered subscription billing, and GDPR/SOC 2 compliant architecture. Stack: React, Node.js, AWS | API Integration, SaaS Development, Full Stack, AI Chatbot, GDPR
0
65
Cover image for Alma Collective, a fitness booking
Alma Collective, a fitness booking platform for the Greek market, was stuck: half-built by a previous developer, unstable, and nowhere near launch-ready. I took over the codebase, stabilized it, completed the missing core flows, and carried it to public launch across web and mobile (React Native). What shipped: User app: discover and filter classes (yoga, Pilates, dance), book and pay per session, QR check-in on arrival Partner portal: venue listings, class scheduling, payouts, subscriptions Payments: Stripe with Apple Pay and Google Pay, pay-as-you-go and subscriptions
1
163
Node.js(5)