Freelancers using Django REST framework in Punjab
Freelancers using Django REST framework in Punjab
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Muhammad imran Awan
Kharian, Pakistan
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AJWA ERP - Complete Industrial ERP for Printing & Manufacturing Built AJWA ERP - An all-in-one ERP system designed for printing and manufacturing businesses. Key Modules Developed: Sales Management & Invoicing Production & Inventory Control Dashboard with Real-time Analytics (Sales, Revenue, Orders) Shop / Factory Management User Roles & Permissions (Admin, Manager, Staff) Reporting System This system replaced manual Excel work and gave the owner live visibility of their entire factory operation from sales to printing. Tech Stack: Laravel / Django, MySQL, React for Dashboard, REST APIs Result: 100% digital workflow, reduced reporting time from 2 hours to 2 minutes.
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ICES.com.pk (http://ICES.com.pk) - Corporate Website for PEC Registered Govt Contractor | Construction & Solar Developed ICES.com.pk/ices - A premium corporate website for International Construction & Energy Solution, a PEC Registered government contractor since 2009. About the Company: ICES works with Pakistan's biggest institutions: NHA, OGDCL, MOL Pakistan, DHA, C&W, TMA, Public Health & PTB. They deliver Solar Plants, Tunnel Lighting, SCADA Automation, HVAC, Electrical, CCTV, Fire Fighting & Civil Works. What I Built: Modern corporate homepage with strong trust signals: "PEC Registered โข Government Contractor โข Since 2009" 8 Service sections with icons: Solar Projects, Lighting Works, CCTV, SCADA & Automation, HVAC, Electrical, Fire Fighting, Civil Works Valued Clients section - Infinite logo slider for NHA, OGDCL, DHA etc. Projects Portfolio section "Projects that move the country forward" "Why ICES" - 4 USPs (PEC Registered, Quality Assurance, Timely Completion, Experienced Team) Lead Form: Request a Quotation (Name, Phone, Message) connected to info@ices-pak.com (mailto:info@ices-pak.com) Fully responsive, fast loading, designed for government tender credibility My Role: Full Stack Developer + UI/UX - Converted business requirements into a professional website that wins tenders. Tech Stack: React.js, Next.js 14, Tailwind CSS, Framer Motion, TypeScript, SEO Optimized, Vercel Deployment, Contact Form API Result: Professional online presence that matches their status as a top government contractor and helps win more tenders.
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SupremeRealEstates.com (http://SupremeRealEstates.com) - Premium Real Estate Listing Platform
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Any Task Rider - Multi-Shop Delivery Platform uilt a complete on-demand delivery ecosystem with 4 apps: Admin Panel (React) -> adds/edits shops centrally, all apps pick them up automatically without code changes. Shop Owner App (Next.js) -> Owner can update their own shop location, address, delivery areas, live on dashboard. Customer App + Rider App Verified Live: Added Kabab House (SHOP-REST-005) - Admin lists 10 shops, customer app sees it instantly, and shop owner can edit address + delivery area. Tech: Node.js Backend, React, Next.js, MongoDB, Geo-location based delivery matching, Voice Booking.
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Django REST framework
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Ahsan Ashraf
Lahore, Pakistan
Senior Python & AI/LLM Engineer
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Senior Python & AI/LLM Engineer
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๐๐ข๐ ๐ข๐ญ๐๐ฅ ๐๐๐๐ฅ๐ญ๐ก๐๐๐ซ๐ ๐ฆ๐๐ง๐๐ ๐๐ฆ๐๐ง๐ญ ๐ฌ๐จ๐ฅ๐ฎ๐ญ๐ข๐จ๐ง (๐๐จ๐ฌ๐ฉ๐ข๐ญ๐๐ฅ ๐๐จ๐ซ๐ค๐๐ฅ๐จ๐ฐ ๐๐ฅ๐๐ญ๐๐จ๐ซ๐ฆ) ๐๐ฒ ๐ซ๐จ๐ฅ๐: Backend Engineer / Django Developer ๐๐ซ๐จ๐ฃ๐๐๐ญ ๐๐๐ฌ๐๐ซ๐ข๐ฉ๐ญ๐ข๐จ๐ง: I fixed a critical migration issue in the Django REST Framework-based product MediRoom that was blocking development. I reviewed the migration history, identified missing and conflicting dependencies, and realigned the database schema safely. I ensured zero data loss while restoring migration integrity, delivering a clean and fast fix that stabilized the system and allowed the team to continue work without interruptions
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๐ ๐ฎ๐ฅ๐ฅ ๐๐ญ๐๐๐ค ๐๐ ๐๐๐๐ซ๐ง๐ข๐ง๐ ๐๐๐ง๐๐ ๐๐ฆ๐๐ง๐ญ ๐๐ฒ๐ฌ๐ญ๐๐ฆ ๐๐ฒ ๐ซ๐จ๐ฅ๐: Lead Full Stack Developer (AI & LMS Platform) ๐๐ซ๐จ๐ฃ๐๐๐ญ ๐๐๐ฌ๐๐ซ๐ข๐ฉ๐ญ๐ข๐จ๐ง: I led the development of a scalable AI-powered learning platform and LMS portal. I built a secure full-stack architecture with responsive frontend interfaces and robust backend APIs to support interactive lessons, real-time class scheduling, and personalized learning tools. I also integrated curriculum-based workflows and ensured the system performed reliably for thousands of active students.
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๐๐ง๐ญ๐๐ซ๐ฉ๐ซ๐ข๐ฌ๐ ๐๐๐๐ง๐ญ๐ข๐ญ๐ฒ & ๐๐๐๐๐ฌ๐ฌ ๐๐๐ง๐๐ ๐๐ฆ๐๐ง๐ญ ๐๐จ๐ซ๐ญ๐๐ฅ | ๐๐๐, ๐๐๐๐ & ๐๐ ๐ ๐๐ฒ ๐ซ๐จ๐ฅ๐: Backend Engineer / Flask Developer ๐๐ซ๐จ๐ฃ๐๐๐ญ ๐๐๐ฌ๐๐ซ๐ข๐ฉ๐ญ๐ข๐จ๐ง: I integrated Single Sign-On (SSO) using OpenID Connect into an existing Flask application. I implemented a secure authentication flow with a standard identity provider, enabling seamless and centralized login. I handled token validation, session management, and secure user identity processing. This reduced login friction while maintaining strong security standards, and I delivered a stable, production-ready authentication system within a tight deadline.
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๐๐-๐๐จ๐ฐ๐๐ซ๐๐ ๐๐ซ๐๐๐ข๐ง๐ ๐๐ง๐๐ฅ๐ฒ๐ญ๐ข๐๐ฌ ๐๐ฅ๐๐ญ๐๐จ๐ซ๐ฆ | ๐๐ฒ๐ญ๐ก๐จ๐ง, ๐ ๐๐ฌ๐ญ๐๐๐ & ๐๐๐ ๐๐ฒ ๐ซ๐จ๐ฅ๐: Python Backend Engineer focused on AWS serverless architecture ๐๐ซ๐จ๐ฃ๐๐๐ญ ๐๐๐ฌ๐๐ซ๐ข๐ฉ๐ญ๐ข๐จ๐ง: I built a serverless backend for an AI-driven trading platform handling real-time market data and analytics. I used AWS services like Lambda, API Gateway, RDS, and S3 to create a system that scales without manual infrastructure management. I designed pipelines for ingesting and processing live data to support trading signals and sentiment analysis. My focus was on keeping latency low, handling high concurrency, and ensuring the platform remained stable for global users.
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142
Django REST framework
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Hashim Ali
Pฤkpattan, Pakistan
Python Backend Engineer | Django, DRF, FastAPI & WebSockets
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Python Backend Engineer | Django, DRF, FastAPI & WebSockets
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Building high-performance, asynchronous Python backends that scale.
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FinValora โ Real-Time FinTech & Paper-Trading Engine Project Overview FinValora is a modular, high-throughput cryptocurrency paper-trading and portfolio management backend. Built to simulate high-frequency financial platforms, it pairs a transactional Django / DRF foundation for state management with FastAPI for low-latency market streaming, offloading computational workloads to Celery & Redis. Roles & Tools Roles: Backend Architect, API Engineer, System Designer Tools: Python, FastAPI, Django, Django REST Framework, WebSockets, Redis, Celery, PostgreSQL, Docker, Pytest, OpenAPI/Swagger Core Highlights & Architecture Hybrid Async Architecture Transactional API (Django/DRF): Handles secure JWT auth (SimpleJWT), user accounts, wallets, order books, and multi-asset portfolio logic. Real-Time Streaming (FastAPI + WebSockets): Dedicated async microservice for live price tickers, market data streaming, and WebSocket broadcasts over Redis Pub/Sub. High-Performance Background Processing Integrated Celery + Redis task queues to handle heavy financial math, automated portfolio snapshot calculations, equity curves, and drawdowns. Reduced core HTTP response times by ~25% by executing asynchronous alert triggers and notification pipelines in background workers. Dedicated Analytics Engine Isolated data system for trade statistics, historical indicator calculations, strategy performance evaluation, and daily snapshot tracking. Developer Experience & Quality Assurance Interactive API documentation generated dynamically via drf-spectacular (OpenAPI / Swagger UI). Unit & integration test suites validating transactional integrity, risk limits, and WebSocket handshakes. Links & Resources GitHub Repository: https://github.com/devHashim111/finvalora Here is a high-converting, concise, and interactive Contra project post structured to showcase your architectural skills without wall-of-text fluff. FinValora โ Real-Time Crypto Trading & Portfolio Engine FinValora is a modular, backend-heavy financial platform built to demonstrate high-concurrency microservices, real-time data streaming, and robust financial domain modeling. Core Architecture & Stack Transactional Core: Django & Django REST Framework (DRF) + SimpleJWT Real-Time Engine: FastAPI + Async WebSockets (isolated for high throughput) Background Processing: Celery + Redis (notifications, scheduled tasks, market sync) API Specs & Docs: OpenAPI 3.0 / Swagger UI via drf-spectacular Data Layer: Relational schema optimized for PostgreSQL (SQLite for local dev) Key Technical Highlights Financial Domain Modeling: Strict relations handling assets, exchanges, order books, trades, paper-trading wallets, and positions. Separation of Concerns: Sync REST APIs handle transactional metadata, while async FastAPI pipelines stream live market feeds via WebSockets. Performance & Analytics: Dedicated analytics layer computing daily equity curves, trade stats, drawdown history, and strategy metrics. Notification System: Multi-channel queue pipeline (Email, In-App, Push) executed out-of-band via Redis & Celery workers. Which part of the architecture interests you most? Asynchronous WebSocket streaming via FastAPI & Redis Pub/Sub Database design for order books & portfolio analytics Decoupling long-running tasks with Celery background workers Drop a comment below with your pick, or check out the code repositories! Links GitHub Repository: https://github.com/devHashim111/finvalora Developer Portfolio: https://devhashim.vercel.app/
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Flora โ Full-Stack E-commerce Platform Built Flora, a full-stack fashion e-commerce platform using Django, Django REST Framework, Django Templates, and Jazzmin Admin. Features include secure authentication, dynamic product catalog with filtering/sorting, AJAX-powered live search, persistent shopping cart, order tracking, responsive UI, SEO optimization, and a customized admin dashboard for managing products, orders, users, categories, and analytics. Deployed on Vercel and currently available as an alpha release. Live: https://shop-amber-nine-46.vercel.app (https://shop-amber-nine-46.vercel.app)GitHub: https://github.com/devHashim111/flora-shop
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Development of Fapix Web Framework
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Django REST framework
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Hamza Hameed
Lahore, Pakistan
Backend Python Engineer | Django, FastAPI, REST APIs & Cloud
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Backend Python Engineer | Django, FastAPI, REST APIs & Cloud
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DarrenCaddle is a recruitment-focused CRM and lead management platform designed to help recruitment teams organize large volumes of leads, companies, candidates, job opportunities, and sales activities in one centralized system. I worked on the backend development and business logic, building the systems required to manage recruitment data, lead workflows, company assignments, sales tasks, and administrative operations. Key Features Lead Management โ Create, track, search, filter, and manage large volumes of recruitment leads. Advanced Lead Filtering โ Filter leads by source, team, assigned user, country, status, sales task, outreach activity, and other attributes. Company Management โ Maintain company records, domains, assignments, statuses, and associated recruitment activity. Candidate & Person Management โ Organize candidate/person information and connect it with companies, jobs, and leads. Sales Workflow Management โ Track sales tasks, responses, resume submissions, interest, contracts, and other recruitment stages. Job Management โ Associate leads and candidates with relevant job opportunities. Lead Assignment โ Assign companies and leads to specific team members and manage ownership across the recruitment workflow. Search & Reporting โ Provide administrative tools for quickly finding and managing large datasets. Scalable Data Management โ Built the backend around high-volume recruitment data, with the interface showing 250K+ leads and 200K+ company records. Admin Operations โ Developed interfaces and backend functionality for managing the recruitment operation from a centralized platform. My Role Backend Engineer / Django Developer I was responsible for the backend development, including: Designing and developing backend APIs and business logic Building lead and company management workflows Implementing search, filtering, assignment, and status-management functionality Designing data relationships between leads, companies, people, jobs, and sales activities Building administrative workflows for managing large datasets Supporting recruitment and sales operations through custom backend functionality Technology Python ยท Django ยท Django REST Framework ยท PostgreSQL ยท REST APIs ยท Database Design ยท Backend Development
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Fynite is a data-driven SaaS platform designed to help businesses manage products, analyze market data, integrate external data sources, and create intelligent pricing strategies. I worked on the backend and data engineering side of the platform, building APIs, integrations, data pipelines, pricing workflows, and the infrastructure required to process and manage large volumes of product and pricing data. Key Features Dynamic Pricing Engine โ Create and apply pricing strategies based on stock, demand, promotions, competitors, volume, and time-based rules. Product Management โ Manage product catalogs, variations, SKUs, pricing, inventory, POS data, and dynamic pricing status. Competitor Pricing Intelligence โ Collect and compare competitor pricing data to support data-driven pricing decisions. ETL & Data Pipelines โ Ingest, transform, and synchronize data from multiple external sources. Third-Party Integrations โ Built integrations with platforms such as Shopify, Square, Toast, Clover, NCR, and other data sources. Analytics & Dashboards โ Provide revenue, net-value, price-index, competitor, and business performance insights. Pricing Strategies โ Support promotion-based, stock-based, volume, time-based, demand-based, competitor-based, and fixed-markup pricing. Lead & Company Management โ Manage leads, companies, assignments, sales tasks, and recruitment/business workflows within the broader platform. API Integrations โ Connect external services and data providers through backend APIs and integration workflows. Scalable Data Architecture โ Designed backend workflows for handling large datasets and continuously synchronized business data. My Role Backend Engineer / Python & Django Developer I focused primarily on the backend architecture and data layer, including: Designing and developing Django/REST APIs Building data ingestion and ETL workflows Integrating third-party platforms and APIs Implementing dynamic pricing logic and business rules Working with relational databases and analytical data stores Building automated data synchronization workflows Developing backend services for dashboards and analytics Handling product, pricing, inventory, competitor, and integration data Supporting cloud-based data processing and deployment Technology Python ยท Django ยท Django REST Framework ยท PostgreSQL ยท Amazon Redshift ยท AWS ยท Docker ยท REST APIs ยท Celery ยท ETL ยท Data Pipelines ยท Third-Party APIs
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Django - SkillSwap
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Fashion Studio is an AI-powered fashion creation platform designed to help fashion brands and creators generate professional product visuals without traditional photoshoots. The platform combines virtual try-on, AI model generation, image generation, video generation, face swapping, and quality assurance into a single workflow. I worked on the backend and AI integration layer, building APIs and workflows that connect the platform with multiple AI services and handle the generation lifecycle from user input to final output. Key features include: ๐ Virtual Try-On โ Apply garments and accessories to generated or uploaded models. ๐งโ๐จ AI Model Generation โ Create realistic fashion models with configurable gender, appearance, measurements, poses, and backgrounds. ๐ผ๏ธ AI Image Generation โ Generate fashion campaigns and product visuals from prompts and references. ๐ฌ AI Video Generation โ Turn generated fashion imagery into promotional videos. ๐ Face Swap โ Generate customized fashion content using face-swapping workflows. ๐ก๏ธ AI Quality Assurance โ Automatically evaluate generated results and retry failed generations when necessary. ๐ Generation Library โ Track and manage generated assets and their parameters. ๐ณ Credits & Billing โ Manage generation credits, subscriptions, usage, and add-on credits. โ๏ธ Generation Parameters โ Store model configuration, garments, poses, backgrounds, aspect ratios, and generation metadata. Technology Python ยท Django ยท FastAPI ยท PostgreSQL ยท REST APIs ยท Replicate ยท OpenAI ยท Docker ยท AI Image Generation ยท AI Video Generation My Role Backend Engineer / AI Integration Engineer I focused on designing the backend APIs, integrating AI generation services, building generation workflows, handling asynchronous processing and failures, and connecting the AI capabilities with the product's user-facing workflows.
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Django REST framework
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Abdullah Zafar
Lahore, Pakistan
An Enthusiastic Full-stack Dev and Ethical Hacker.
5.0
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An Enthusiastic Full-stack Dev and Ethical Hacker.
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Al-Quran API
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SpyKeys Extension
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PizzaHome
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iMasjed
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21
Django REST framework
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Bridge Homies
Lahore, Pakistan
Creating bridge between your ideas andย reality.
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Creating bridge between your ideas andย reality.
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Aierpify โ FBR-Compliant Invoice Management Platform
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Building OPleo an all-in-one platform for business operations Iโm building OPleo (Operational People) to help growing teams manage finance, HR, attendance, payroll, and recruitment from one connected platform. It includes: Invoices, partial payments, recurring billing, financial tracking, debts, and profit/loss Payroll based on real working days, office hours, leave policy, and late attendance ZKTeco biometric attendance, cloud push support, USB imports, and remote attendance Employee portal for leave requests, documents, payslips, remote work, goals, and resignations Recruitment pipeline with candidate applications, CV uploads, interviews, and offers HR analytics, calendars, automation, and organisation-level data isolation Multi-business support for teams managing more than one company The aim is to make operational work simpler: one system that connects people, payroll, finance, and day-to-day business decisions. Built with a focus on practical workflows for modern teams. The video attached is made using Brag #BuildInPublic #SaaS #HRTech #Operations #Payroll #Finance #Recruitment #WebDevelopment
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AI ML Engineering Services | Machine Learning Agency | Bridge Hโฆ
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Mail Hauler Pro Email Marketing & Automation SaaS Developed Mail Hauler Pro, an enterprise-grade email marketing and automation platform built to support 12,400+ marketing teams. We created the complete SaaS product from campaign management and multi-inbox operations to email deliverability monitoring and real-time performance analytics. The platform helps teams manage high-volume outreach, automate campaigns, protect sender reputation, and handle replies from one unified workspace. Key features: โข Automated email campaigns and sequences โข Multiple sending-account management โข Automated email warm-up โข Unified inbox for managing replies โข Lead import and subscriber management โข Lead generation workflows โข Bounce and deliverability monitoring โข Sender health tracking โข Real-time campaign analytics โข Infrastructure for high-volume email operations Technology: React, Next.js, Node.js, MongoDB Status: Live and scaling Private Beta v1.0
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Django REST framework
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Saadaan Hassan
Lahore, Pakistan
AI SaaS & MVP builder for startups
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AI SaaS & MVP builder for startups
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Development of Gripco LIMS Platform
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6
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I rebuilt my portfolio into a product experience, not a static page. Most dev portfolios just list projects. I focused on: โ Case studies over project lists โ Decisions, trade-offs, and thinking โ A UX that feels like a product, not a page Then I added an AI layer on top. Now you can explore my work interactively, ask questions, understand context, and see how I think. Built with Next.js, Groq, and Vercel. This is the same approach I bring to client work: โ Product-first engineering โ Interactive web experiences โ Fast, clean MVP execution If youโre building a SaaS or AI product, I can help you ship this kind of experience.
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AI-Powered Resume Builder Development for GetSetCV
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I recently implemented Strapi in a client project to solve a simple but expensive problem: Content updates were too dependent on developers. Every small change required: โ backend updates โ schema changes โ frontend adjustments This slowed down both the team and the client. So instead of building a custom admin system from scratch, I used Strapi as a content layer. It allowed: โ dynamic page creation โ reusable content blocks โ client-controlled updates โ faster iteration without code changes Not every project needs this approach. For highly custom systems, a traditional backend still makes more sense. But for content-heavy websites where flexibility matters, it removes a lot of unnecessary engineering overhead.
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83
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Muhammad Luqman
Lahore, Pakistan
Helping Startups & SMBs to build Scalable, Impactful Product
5.0
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Helping Startups & SMBs to build Scalable, Impactful Product
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YouTube Influencer Analytics & Automation Platform
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8
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QuoteSmith
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Financial Accounting Assistant โ SaaS Web Application
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2
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Development of Healing Mosaic Emotional Well-being App
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5
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