Freelance Database Engineers in RawalpindiFreelance Database Engineers in Rawalpindi
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Asif Raza's avatar
Asif Raza
Islamabad, Pakistan
Senior Full Stack .NET Developer | Azure | SQL
Senior Full Stack .NET Developer | Azure | SQL
Cover image for Academy Locksmith
Academy Locksmith
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Cover image for SQL Database Report Generation & File Processing
SQL Database Report Generation & File Processing
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Cover image for SkyBoss, Field Service Workforce Management App
SkyBoss, Field Service Workforce Management App
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Database Engineer(3)
Khizar hayat's avatar
Khizar hayat
Rawalpindi, Pakistan
I build practical business apps and AI automations
New to Contra
I build practical business apps and AI automations
Cover image for 🚛 Introducing RavaanOps — a
🚛 Introducing RavaanOps — a secure transport and fleet management platform I’ve been building. What started as a system for one transport business has now evolved into a multi-business application where every company receives its own private workspace. Key features include: ✅ Vehicle, customer and rental management ✅ Income, expense, fuel and maintenance tracking ✅ Professional invoice generation and payment history ✅ Secure document storage with expiry alerts ✅ Financial reports and CSV export ✅ Invite-only access with automatic expiry ✅ Separate data for every business ✅ Owner-controlled revoke and restore access Built with React, TypeScript, Supabase, PostgreSQL, Row Level Security, GitHub and Vercel. 🔗 Live overview: https://lnkd.in/ddmuxVEZ (https://lnkd.in/ddmuxVEZ)🔐 The dashboard is invite-only, but controlled demo access is available on request.
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Cover image for I recently built an AI-powered
I recently built an AI-powered email automation workflow using n8n. The workflow: Reads pending customer data from Google Sheets Uses AI to generate a personalized email subject and body Sends the email through Gmail Records the subject, body, date, and time in Google Sheets Automatically changes the status from Pending to Sent This project helped me understand how AI agents, APIs, and workflow automation can work together to solve repetitive business tasks. It was not perfect on the first attempt, and I faced several issues while configuring the AI output and Gmail fields. Solving those problems was the most valuable part of the project. I’m continuing to learn and build practical AI automation projects. hashtag#AI (https://www.linkedin.com/search/results/all/?keywords=%23ai&origin=HASH_TAG_FROM_FEED) hashtag#Automation (https://www.linkedin.com/search/results/all/?keywords=%23automation&origin=HASH_TAG_FROM_FEED) hashtag#n8n (https://www.linkedin.com/search/results/all/?keywords=%23n8n&origin=HASH_TAG_FROM_FEED) hashtag#AIAgents (https://www.linkedin.com/search/results/all/?keywords=%23aiagents&origin=HASH_TAG_FROM_FEED) hashtag#LearningByBuilding (https://www.linkedin.com/search/results/all/?keywords=%23learningbybuilding&origin=HASH_TAG_FROM_FEED)
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Cover image for House Prediction App
House Prediction App
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Cover image for I've built SalesPro AI, an
I've built SalesPro AI, an interactive, full-stack Next.js web application designed to help businesses instantly forecast sales performance based on their marketing spend across TV, Radio, and Newspaper advertising budgets. The core of the app runs a custom-trained Polynomial Regression Model (achieving 93.55% accuracy / R² score) directly in the browser. By leveraging TypeScript to run the ML math client-side, we get instantaneous forecasts with zero API latency or backend overhead. 🛠️ Key Features: ML-Powered Forecaster: Instant sales projections and customized channel allocation insights based on real historical marketing data. Interactive Analytics Dashboard: Real-time stats tracking total, average, and highest predictions. Persistent Session & History: Secure local signup, login, demo access, and custom settings (including dynamic profile picture uploads!). Data Portability: Full history logs with sorting, filtering, and a one-click Export to CSV feature for further spreadsheet analysis. Modern UX/UI: Responsive dark-mode dashboard with smooth animations and clean micro-interactions. 💻 The Tech Stack: Frontend: Next.js 14 (App Router) & React Styling: Tailwind CSS & Modern Glassmorphism Logic/Type Safety: TypeScript Algorithms: Polynomial Regression (Degree 2) Storage: LocalStorage-backed authentication & prediction database 👉 Live Demo: [https://lnkd.in/eUM_zKkQ]
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Database Engineer(1)
Muhammad Yahya's avatar
Muhammad Yahya
Islamabad Capital Territory, Pakistan
Full-stack developer, focused on scalability.
5.0
Rating
Full-stack developer, focused on scalability.
Cover image for UmroAyyar quiz
UmroAyyar quiz
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Cover image for Dot Spaces Website Design
Dot Spaces Website Design
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Cover image for Jubilant Studios Website Redesign
Jubilant Studios Website Redesign
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Database Engineer(1)
Muhammad Usman's avatar
Muhammad Usman
proRawalpindi, Pakistan
Building AI tools that make your team 10x more efficient
New to Contra
Building AI tools that make your team 10x more efficient
Cover image for Automated Invoice Processing with OCR and AI
Automated Invoice Processing with OCR and AI
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Cover image for AI-Powered End-to-End Content Workflow
AI-Powered End-to-End Content Workflow
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Cover image for RAG Assistant with Document Embedding for FAQs
RAG Assistant with Document Embedding for FAQs
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Cover image for AI-Powered SMS Response Agent for GoHighLevel
AI-Powered SMS Response Agent for GoHighLevel
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Database Engineer(1)
Faheem Dad's avatar
Faheem Dad
Islamabad, Pakistan
AI Automation & SaaS Engineer | n8n | Zapier | Laravel
AI Automation & SaaS Engineer | n8n | Zapier | Laravel
Cover image for A high-performance time-tracking and productivity
A high-performance time-tracking and productivity suite designed for remote team transparency. It automates the gap between "time logged" and "work done" using real-time surveillance and intelligence reporting. Core Features: Live Monitoring: Real-time screen streaming and automated screenshots every minute. Precision Tracking: One-click task-based timers with automated daily timesheets. Productivity Intelligence: AI-driven reports to identify bottlenecks and resource leaks. Activity Verification: Daily work videos to review team progress at a glance. Multi-OS Support: Native desktop clients for Windows, Mac, and Linux. Tech Stack: Backend: Laravel (PHP), Python (for automation/data processing). Frontend: Vue.js / Fabric.js (for real-time dashboard and design elements). Cloud & Storage: AWS S3 (for high-frequency screenshot/video storage). Architecture: Scalable data pipelines for real-time reporting and 300 DPI server-side exports.
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Cover image for AI-Powered Email Processing & Business
AI-Powered Email Processing & Business Data Extraction (n8n) Built an automated workflow system using n8n to handle intelligent email processing, retailer data enrichment, and decision-based automation for business operations. The system runs on a scheduled trigger (every 30 minutes) and processes customer data in a fully automated pipeline. When a user logs in, their data is stored with a pending status. The workflow then retrieves these records, analyzes recent business emails, and extracts key information such as sender domain and transactional details. Using domain-based logic, the system cross-checks retailer data from a centralized database (Google Sheets). If retailer information is incomplete, the workflow automatically performs web scraping and enrichment to fetch return policies, business details, and relevant metadata before continuing execution. Once validated, the system parses emails, extracts structured data, triggers external APIs, and marks processed emails accordingly. It ensures idempotent processing by updating statuses and avoiding duplicate handling. Additionally, the workflow supports continuous monitoring by scanning unread business emails for completed users and processing them in real time. Key Highlights Fully automated email parsing & classification system Dynamic data enrichment from web sources Domain-based retailer validation logic Seamless integration with APIs, databases, and Google Sheets Built for scalability, reliability, and minimal manual intervention
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Cover image for Multi-Vendor Car Marketplace Analysis This platform
Multi-Vendor Car Marketplace Analysis This platform acts as a digital rental hub that connects car owners with renters. It automates the entire lifecycle of a booking from searching for a vehicle to secure payment processing allowing the owner to run a hands-off rental business while earning commissions from third-party suppliers. The Tech Stack Frontend: React/Next.js and Tailwind CSS for a fast, mobile-responsive user interface. Backend: Node.js or Python to manage real-time availability logic and automated emails. Database: PostgreSQL or MongoDB for secure storage of car listings and user data. Payments: Full Stripe integration for secure, automated credit card processing. Key System Features Three-Tier Access: Dedicated panels for Admins (the boss), Suppliers (car owners), and Customers. Smart Inventory: Instant availability checking and automated price setting per vehicle. Instant Connectivity: Real-time email alerts sent directly to suppliers when a quote is requested. Complete Booking: A seamless flow from car browsing to digital checkout and confirmation. Core Business Advantages Dual Revenue: Earn 100% profit on personal fleet rentals plus a percentage fee from supplier bookings. Automated Operations: The system handles scheduling and payments 24/7 without manual intervention. Supplier Autonomy: Partners manage their own listings and pricing, reducing your administrative workload. Trust & Security: Integrated Stripe payments ensure high-level fraud protection and instant payouts.
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Cover image for TreatLocal -- UK Healthcare Booking
TreatLocal -- UK Healthcare Booking Platform Project Link: https://treatlocal.co.uk Description: TreatLocal is a web platform that connects UK residents with private healthcare services and clinics across the country. The platform allows users to easily find and book appointments for services such as travel vaccinations, antimalarials, microsuction earwax removal and Vitamin B12 injections. The system includes a nationwide clinic network, transparent service pricing, and a streamlined booking experience. It also provides clear guidance for occupational health requirements and vaccinations needed for religious travel such as Hajj and Umrah. My Contribution: Full platform development Backend architecture and API development Booking system implementation Database and performance optimization Deployment and production support Technologies: Laravel, Vue.js, MySQL, REST APIs
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Database Engineer(1)
shaiq paracha's avatar
shaiq paracha
Islamabad, Pakistan
Flutter App Developer | Beautiful, Scalable & Cross-Platform
Flutter App Developer | Beautiful, Scalable & Cross-Platform
Cover image for TriNote - Intelligent AI Note-Taking
TriNote - Intelligent AI Note-Taking Suite Overview TriNote is a high-utility productivity app that transforms raw data into structured knowledge. Developed with Flutter, it leverages Deepseek AI and custom OCR to handle everything from voice to physical documents. Technical Features: Multimodal Input: Supports Audio Transcription, Speech-to-Text (STT), OCR (Image-to-Text), and PDF extraction. AI-Driven Synthesis: Uses LLMs to generate professional summaries and structured notes from fragmented content. Monetization Engine: Seamlessly integrated Google AdMob with native layouts and In-App Purchases (IAP) for premium features. Offline First: Built with Hive for fast, local persistent storage and high-speed retrieval.
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Cover image for Clutchr - The Premier Car
Clutchr - The Premier Car Event Marketplace Overview Clutchr is a high-performance Flutter application connecting automotive organizers with enthusiasts. It streamlines event discovery and ticketing through a seamless, social-first interface. Key Technical Features: Geolocation Discovery: Integrated Google Maps API for real-time, proximity-based event tracking and personalized feeds. Conversational Ticketing: A custom Real-time Chat system where users purchase tickets directly through organizer dialogue. Dynamic QR Validation: Instant, in-chat QR code generation for secure, in-app ticket scanning and entry management. Community Focused: Built for scale with high-fidelity UX/UI tailored to the automotive lifestyle.
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Cover image for Leanify AI: AI-Powered Fitness &
Leanify AI: AI-Powered Fitness & Weight Loss Coach Leanify AI is a smart fitness companion that simplifies weight loss by replacing calorie counting with sustainable habits. Built with Flutter, it uses AI algorithms to create 100% customized plans that adapt to your progress in real-time. Key Features: Adaptive AI Coaching: Fine-tunes fasting windows and targets based on weekly data. No-Calorie Method: Focuses on Intermittent Fasting and movement. Smart Tracking: Manual logging for treadmills/steppers, data standard trackers miss. Visual Progress: Dynamic "Ideal Trend" lines to keep users motivated. Technical Stack: Cross-platform Flutter dev with integrated LLMs for personalized scheduling and high-end UX/UI.
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Database Engineer(1)
Arham Malik's avatar
Arham Malik
Rawalpindi, Pakistan
Backend & AI engineer who ships systems fast and scale.
New to Contra
Backend & AI engineer who ships systems fast and scale.
Cover image for This is a classic enterprise
This is a classic enterprise academic portal, but built solid. It uses  Web Forms, ASP.NET, C#, and SQL Server. The main challenge was role based access control because you have admins, faculty, TAs, and lab demonstrators all needing different permissions. I designed a three tier architecture with stored procedures and optimistic concurrency control so data doesn’t get messed up when people edit at the same time. Over 200 users per semester use it for task assignments and progress tracking. It’s not flashy, but it works perfectly. For more details, please visit: https://arham-nexus.vercel.app/work/talabportal
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Cover image for Skill Swap is a peer
Skill Swap is a peer to peer learning platform where you can be both a student and a teacher. I built the backend with Java Spring Boot, real time chat with WebSockets, and video calls with WebRTC. The matching algorithm finds people based on skills, ratings, and availability. You can switch roles anytime. It also has a trust based review system so fake reviews don’t ruin it. This was an MVP, but it proved that real time learning communities can work really well. For more details, please visit: https://arham-nexus.vercel.app/work/skillswap
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Cover image for This is a native Android
This is a native Android app I built with Kotlin and Firebase. It connects tourists with verified local guides in real time. You open the app, see nearby guides, book a tour, and then you can track each other’s location live using Google Maps. I also added offline support because travel doesn’t always have perfect internet. Over 100 active users ended up using it,during the MVP. The best part? Battery usage was optimized so your phone doesn’t die halfway through the day. Really proud of how smooth it turned out. For more details, please visit: https://arham-nexus.vercel.app/work/raaheraast
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Cover image for Yeah, this one is a
Yeah, this one is a bit out there, but it was super fun. I built an AI that actually understands memes. It looks at the image and the text together using PyTorch, TensorFlow, and GPT 4. I used early and late fusion techniques to combine vision and language, plus Tesseract OCR to grab text from the image itself. The model hits over 95% accuracy on meme classification. It’s not your typical corporate project, but it shows how multimodal AI can understand humor, culture, and context. Definitely one of my favorite experiments. For more details, please visit: https://arham-nexus.vercel.app/work/memechecker
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Database Engineer(1)