Freelancers using PostgreSQL in PunjabFreelancers using PostgreSQL in Punjab
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Salman Maqbool's avatar
Salman Maqbool
Lahore, Pakistan
3x Retool Certified · AI Dashboards & Automation
    $1k+
    Earned
    1x
    Hired
    5.0
    Rating
    73
    Followers
RETOOL_EXPERT

Agency Partner

3x Retool Certified · AI Dashboards & Automation
Cover image for Role-Based Case Management System for Hospital Teams
Role-Based Case Management System for Hospital Teams
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20
Cover image for Real Estate & Construction CRM
Real Estate & Construction CRM
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39
Cover image for Admin Panel for ISP & User Management
Admin Panel for ISP & User Management
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36
Cover image for Order Management Sytem
Order Management Sytem
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30
PostgreSQL(3)
Waleed yaseen's avatar
Waleed yaseen
proLahore, Pakistan
Full-Stack Developer | AI & Web3
    8
    Followers
Full-Stack Developer | AI & Web3
Cover image for TraceGrid: Global Supply-Chain Control Tower Concept
TraceGrid: Global Supply-Chain Control Tower Concept
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4
Cover image for Ilmversity is an AI-enabled learning
Ilmversity is an AI-enabled learning and school-management platform that brings admissions, student records, scheduling, attendance, fees, communication, and reporting into one connected product. MY CONTRIBUTION I worked on the full-stack engineering behind operational and commercial workflows, with a focus on Node.js and Express services, API improvements, payment-related modules, subscription and credit-system design, AI-enabled features, and delivery automation. The subscription work covered relationships between plans, currencies, discounts, payments, usage, and expiry records so the product could represent real business rules cleanly. PRODUCT AND ENGINEERING AREAS • Backend services and REST API improvements • Payment, subscription, and credit workflows • Business logic for education operations • AI-assisted product features • Database-backed integrations and maintainable service boundaries • CI/CD support for more reliable releases The wider product includes school administration, smart scheduling, attendance, finance, HR, inventory, analytics, and web/mobile access. My work supported the platform as part of a broader product team; I do not claim sole authorship of every feature shown. Technology: Node.js, Express.js, JavaScript, REST APIs, relational databases, payment integrations, CI/CD Product: https://ilmversity.com/
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Cover image for MetriqueAI is a live crypto-market
MetriqueAI is a live crypto-market intelligence product that combines market data, proprietary asset scoring, daily sentiment, concise AI-generated news briefs, voting, watchlists, and community leaderboards in one dark, data-dense interface. MY CONTRIBUTION My work focused on the full-stack and backend systems that support market-data integrations, API workflows, scheduled processing, dashboards, and the product experiences built around continuously changing asset data. I contributed within the wider product team and am presenting the areas relevant to my engineering work rather than claiming sole authorship of the platform. PRODUCT AND ENGINEERING AREAS • Market-data ingestion and backend API workflows • Scheduled processing for refreshed asset information • Dashboard interfaces for rankings, movers, and sentiment • AI-assisted market briefs and news presentation • Search, filtering, watchlist, and community interaction flows • Data-heavy responsive UI and production integrations The current product visibly includes an AI-ranked asset dashboard, top gainers and losers, live market pulse, four-hour news briefs, voting, watchlists, and a monthly SOL leaderboard. Technology: JavaScript/TypeScript, Node.js, REST APIs, scheduled jobs, market-data integrations, databases, responsive dashboards Product: https://metrique.ai/
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Cover image for Guru — Brand Identity, Product Design & Full-Stack Ordering
Guru — Brand Identity, Product Design & Full-Stack Ordering
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1
PostgreSQL(3)
Kamran Hameed's avatar
Kamran Hameed
Lahore, Pakistan
Senior Full-Stack (RoR, Python, Node, PHP) Developer
    5.0
    Rating
    6
    Followers
Senior Full-Stack (RoR, Python, Node, PHP) Developer
Cover image for Conversate.ai - Revolutionizing Call Automation
Conversate.ai - Revolutionizing Call Automation
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Cover image for Robin Aviator (Fleet Management System)
Robin Aviator (Fleet Management System)
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11
Cover image for Gift Vouchers
Gift Vouchers
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7
Cover image for Form Maker - Modern Ways To Manage Forms and Invoicing
Form Maker - Modern Ways To Manage Forms and Invoicing
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9
PostgreSQL(3)
Shamroz Ali's avatar
Shamroz Ali
Multan, Pakistan
AI Automation Engineer | AI Agents | n8n | GHL | LangChain
    9
    Followers
AI Automation Engineer | AI Agents | n8n | GHL | LangChain
Cover image for Your Inventory System Knows Which
Your Inventory System Knows Which Products Are Expiring. But Does Your Team Find Out in Time? 📦 A food distributor has hundreds of product batches across multiple warehouses. Some batches are approaching expiry. Others are running low. Purchasing teams rely on spreadsheets, and warehouse managers manually communicate stock problems. The data exists. The automated action is missing. Common operational problems: Expiry dates are tracked manually. Near-expiry stock goes unnoticed. Reorder requests are delayed. Warehouse inventory data becomes inconsistent. Batch-level traceability requires manual investigation. Purchasing and warehouse teams work with different information. The solution: n8n-powered inventory monitoring and replenishment automation. I can connect your inventory database, ERP, and purchasing workflows to help teams identify stock risks earlier. What the automation can handle: 📦 Batch-Level Monitoring — Track quantities, expiry dates, and warehouse locations. ⏰ Expiry Alerts — Flag batches approaching configurable expiry thresholds. 📉 Low-Stock Detection — Compare available inventory against approved reorder points. 🧾 Purchase Request Drafts — Prepare replenishment requests for purchasing approval. 🏭 Warehouse Notifications — Notify relevant teams about stock exceptions. 📊 Inventory Reporting — Produce scheduled summaries of at-risk stock and replenishment activity. 🔍 Traceability Support — Maintain references to batches, suppliers, and inventory movements. Why does this matter? Because inventory automation isn't just about counting products. It's about helping your business make timely decisions with reliable operational data. Two ways to start: Option 1: Already using an ERP, WMS, or inventory database? Share your system and integration requirements. Option 2: Not sure where inventory automation should begin? We can review your stock monitoring, expiry management, and purchasing process. Build a more connected inventory operation without replacing every system your team already uses. Workflow Schedule Trigger → ERP Inventory API → Normalize SKU and Batch Data → Check Expiry Thresholds → Check Reorder Points → Branch by Exception → Notify Warehouse / Draft Purchase Request → Manager Approval → Update ERP → Log Results. Implementation: Use read-only inventory checks initially, enforce batch-level traceability, distinguish physical from available stock, avoid duplicate purchase requests, and require purchasing approval. Regulatory recall decisions and product safety determinations remain under qualified human control. Benefits: Earlier inventory risk awareness, more consistent purchasing, reduced manual checking, and clearer batch-level visibility. Result: A structured inventory monitoring system that helps warehouse and purchasing teams respond to expiry and replenishment risks. SEO Keywords n8n inventory automation • food distribution automation • food manufacturing software • inventory expiry alerts • batch tracking automation • warehouse automation • food inventory management • ERP inventory integration • inventory API automation • low stock alerts • reorder point automation • purchase request automation • batch expiry monitoring • food warehouse software • wholesale distribution automation • food supply chain technology • inventory synchronization • stock monitoring automation • n8n warehouse workflow • food batch traceability • warehouse inventory integration • automated stock reporting • replenishment workflow • purchasing automation • inventory exception management • expiry date tracking • stock threshold alerts • food wholesale ERP • food distribution software • supplier management workflow • warehouse stock alerts • AI inventory automation • batch inventory database • automated purchase requests • inventory audit trail • warehouse management integration • inventory data validation • stock availability automation • multi-warehouse inventory • food distributor technology • manufacturing inventory automation • n8n ERP integration • food operations automation • inventory workflow developer • food manufacturing API • procurement workflow automation • stock movement tracking • wholesale inventory management • inventory risk monitoring • food supply chain automation • custom inventory automation • warehouse reporting workflow Hashtags #n8n #InventoryAutomation #FoodManufacturing #FoodDistribution #WarehouseAutomation #SupplyChainAutomation #BatchTracking #InventoryManagement #ERPIntegration #WorkflowAutomation #StockManagement #ExpiryTracking #FoodSupplyChain #WholesaleDistribution #PurchasingAutomation #ProcurementAutomation #WarehouseManagement #ManufacturingTech #B2BAutomation #APIAutomation #InventorySoftware #StockAlerts #BusinessAutomation #DistributionTechnology #SupplyChainTech #InventoryVisibility #AutomationEngineer #CustomAutomation #ReplenishmentAutomation #OperationsAutomation #BatchTraceability #n8nDeveloper
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Cover image for Your Rental Team Is Losing
Your Rental Team Is Losing Time Every Time a Customer Asks, "Is This Equipment Available?" 🏗️ A contractor requests three excavators for next week. Your sales team checks a spreadsheet, calls the yard supervisor, calculates a rental quote, and emails the customer. Meanwhile, another request arrives. When equipment availability, quotations, and reservations live in separate systems, even simple rental inquiries become complicated. The operational challenges: Rental inquiries arrive through multiple channels. Equipment availability is checked manually. Quotes take too long to prepare. Sales teams accidentally work from outdated inventory. Rental requests are not consistently followed up. Equipment return dates and booking conflicts are difficult to monitor. My solution: An intelligent equipment rental workflow powered by n8n. I can build a system that connects incoming inquiries with rental inventory, pricing rules, quotation generation, and customer follow-ups. What it can automate: 📩 Inquiry Capture — Collect equipment requests from forms and emails. 🤖 AI Data Extraction — Identify equipment type, rental dates, location, and quantity. 📦 Availability Checks — Query current rental reservations and equipment status. 💰 Quote Preparation — Apply approved pricing rules and prepare quotations for staff review. 📅 Reservation Coordination — Create provisional holds after approval and check for conflicts. 📨 Follow-Up Automation — Remind sales representatives about unanswered quotations. The result? Your team spends less time moving information between systems and more time helping customers secure the equipment they need. Two ways to work together: Option 1: Have an existing rental management platform or ERP? Share your APIs and quotation workflow. Option 2: Still relying on spreadsheets and phone calls? We can design a practical automation around your current operations. Make equipment rental inquiries easier to process without losing human control over pricing and reservations. Workflow Webhook / Email Trigger → AI Request Extraction → Validate Dates and Equipment → Query Rental Inventory → Check Availability → Calculate Approved Pricing → Generate Draft Quote → Human Approval → Send Quote → Follow-Up Schedule. Implementation: Normalize dates and time zones, enforce equipment availability using transactional reservation checks, retrieve pricing from approved rate tables, and require authorization before confirming a rental. Benefits: More consistent quotes, faster inquiry handling, fewer reservation conflicts, and clearer sales follow-ups. Result: An organized rental inquiry-to-quotation process that can support growing equipment fleets and sales teams. SEO Keywords n8n equipment rental • equipment rental automation • construction equipment software • machinery rental workflow • rental quotation automation • equipment availability API • heavy equipment rental software • industrial equipment automation • AI rental inquiry processing • rental inventory integration • equipment booking automation • construction rental CRM • machinery reservation system • rental pricing automation • equipment rental API • automated rental quotes • n8n rental workflow • equipment rental lead management • rental operations automation • fleet availability tracking • equipment rental business software • rental management integration • construction machinery automation • rental contract workflow • rental sales automation • rental inquiry management • equipment return tracking • rental follow-up automation • machinery fleet software • equipment reservation automation • construction equipment inventory • industrial rental platform • equipment rental database • AI quotation generation • rental scheduling workflow • rental order automation • heavy machinery rental integration • rental CRM automation • construction business automation • equipment utilization reporting • automated quote follow-ups • rental ERP integration • equipment dispatch coordination • rental workflow developer • equipment rental process optimization • rental software consultant • industrial machinery management • n8n API integration • equipment inventory synchronization • automated rental communication • construction technology automation • custom equipment rental integration Hashtags #n8n #EquipmentRental #ConstructionTech #RentalAutomation #HeavyEquipment #MachineryRental #RentalManagement #IndustrialAutomation #WorkflowAutomation #AIAutomation #RentalSoftware #EquipmentManagement #ConstructionSoftware #FleetManagement #QuotationAutomation #RentalCRM #InventoryAutomation #BusinessAutomation #EquipmentAvailability #RentalOperations #APIAutomation #IndustrialTechnology #ConstructionBusiness #B2BSoftware #AutomationEngineer #AIWorkflows #RentalTechnology #EquipmentBooking #CustomIntegration #SalesAutomation #RentalInventory #ProcessAutomation
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Cover image for A Maintenance Request Shouldn't Get
A Maintenance Request Shouldn't Get Lost Between an Email, a Spreadsheet, and a Contractor. 🏢 A tenant reports a broken air conditioner. The property manager forwards the email. The contractor needs more details. The tenant asks for an update. Three people are now chasing one maintenance request. For commercial property managers handling multiple buildings, this creates an expensive operational bottleneck. Common problems: Maintenance requests arrive through disconnected channels. Urgent issues are not consistently prioritized. Work orders require manual creation. Vendor assignments depend on repeated follow-ups. Tenants have limited visibility into repair progress. Managers struggle to track overdue requests. My proposed solution: An n8n-powered maintenance coordination system. I can connect your maintenance intake forms, work order database, and vendor notification channels into one structured workflow. 🔧 Automated Intake — Capture and validate maintenance requests. 🤖 AI Categorization — Suggest issue categories and urgency levels, with human review for safety-critical issues. 📋 Work Order Creation — Generate structured records with location, issue, and priority. 👷 Vendor Coordination — Route assignments to approved contractors based on building, trade, and availability. 📧 Tenant Updates — Notify tenants when requests are acknowledged, assigned, or completed. ⏰ Escalation Alerts — Flag overdue or unassigned work orders for property managers. The business benefit? Less manual coordination, clearer accountability, more consistent maintenance communication, and better visibility across your properties. Two ways to get started: Option 1: Already using property management software? Share your existing system and integration requirements. Option 2: Still managing maintenance through email and spreadsheets? We can identify the most useful workflow to automate first. Turn scattered maintenance requests into a structured, trackable operation. Workflow Webhook Intake → Validate Request → AI Issue Classification → Priority Rules → Create Work Order → Select Approved Vendor → Send Assignment → Notify Tenant → Monitor SLA → Escalate Overdue Requests. Implementation: Use approved vendor mappings, database-backed request IDs, duplicate detection, explicit emergency escalation, and scheduled SLA checks. Do not allow AI classification alone to decide whether an urgent safety issue can wait. Benefits: Faster triage, fewer lost requests, better contractor accountability, and consistent tenant communications. Result: A maintainable work-order automation that gives property managers a clear view of incoming, assigned, and overdue maintenance. SEO Keywords n8n property management • maintenance automation • commercial property automation • facility management workflow • work order automation • AI maintenance triage • property manager software integration • tenant request automation • vendor dispatch automation • property maintenance tracking • facility operations automation • commercial real estate software • maintenance request workflow • n8n work order system • automated vendor notifications • tenant communication automation • maintenance SLA monitoring • work order escalation • facility management integration • property maintenance API • maintenance ticket automation • property operations software • building maintenance automation • contractor assignment workflow • property service requests • automated maintenance reporting • property management API integration • building operations automation • vendor coordination software • maintenance email automation • tenant portal integration • facilities workflow automation • multi-property management • AI property operations • property workflow developer • n8n facility management • commercial building maintenance • automated maintenance scheduling • work order database integration • maintenance status notifications • contractor management automation • property management CRM • facility service automation • maintenance priority classification • preventive maintenance workflows • building service desk automation • property management automation consultant • custom maintenance integration • facilities management AI • maintenance request intake • maintenance audit trail • property operations dashboard Hashtags #n8n #PropertyManagement #CommercialRealEstate #MaintenanceAutomation #FacilityManagement #WorkOrderAutomation #AIAutomation #PropertyTechnology #PropTech #WorkflowAutomation #VendorManagement #TenantExperience #BuildingManagement #MaintenanceManagement #FacilitiesOperations #PropertyOperations #ContractorManagement #SLA #ServiceAutomation #BusinessAutomation #APIs #AIWorkflows #CommercialProperty #FacilityAutomation #PropertySoftware #AutomationDeveloper #B2BAutomation #MaintenanceTracking #SystemIntegration #CustomWorkflows #OperationsManagement #n8nDeveloper
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Cover image for Your Logistics Team Shouldn't Have
Your Logistics Team Shouldn't Have to Chase Every Shipment Manually. 🚢 A shipment is delayed. Your customer wants an update. Your operations team is checking carrier portals, copying tracking numbers into spreadsheets, and sending the same status emails repeatedly. By the time everyone has the right information, the next shipment needs attention. The problem isn't a lack of effort. It's disconnected logistics operations. Common challenges: Shipment updates scattered across multiple carrier systems. Delayed shipments discovered too late. Manual customer status emails. Tracking spreadsheets that quickly become outdated. Repetitive follow-ups between operations and customer service. Limited visibility into shipment exceptions. The solution: An automated logistics operations workflow built with n8n. I can design an automation that connects carrier tracking APIs, your shipment database, and customer communication channels. Instead of manually checking every shipment, your team receives structured updates when something actually needs attention. What the automation handles: 📦 Shipment Tracking — Retrieve updates from supported carrier APIs. 🚨 Exception Detection — Identify delays, customs holds, and missed milestones. 🤖 AI-Assisted Updates — Convert complex tracking events into clear, customer-friendly messages. 📧 Customer Notifications — Send relevant shipment updates automatically. 📊 Operations Visibility — Maintain synchronized shipment records and exception histories. 🔁 Escalation Management — Notify the responsible team when an exception requires action. The goal: Less repetitive tracking work, faster exception awareness, and more consistent customer communication. Two ways we can work together: Option 1: Already have carrier APIs, a TMS, or a defined tracking workflow? Share your requirements, and I'll help design the integration. Option 2: Not sure which logistics tasks should be automated? We can map your shipment lifecycle and identify the highest-value starting point. Make your logistics operations easier to manage as shipment volume grows. Workflow architecture Scheduled Trigger → Carrier API Request → Normalize Tracking Events → Match Shipment Records → Detect Status Changes → Route Exceptions → AI Summary → Customer Email / Operations Alert → Database Update Implementation: Authenticate carrier integrations, normalize differing event codes, compare timestamps and event IDs, prevent duplicate alerts, route exceptions by severity, and log delivery failures for retry. Benefits: Reduced manual tracking, clearer exception ownership, more timely customer updates, and an auditable shipment history. Result: A centralized shipment monitoring workflow that allows operations teams to focus on resolving exceptions instead of repeatedly checking tracking portals. SEO Keywords n8n logistics automation • freight forwarding automation • shipment tracking automation • AI logistics workflow • 3PL automation • logistics API integration • freight tracking software • supply chain automation • carrier tracking API • automated shipment notifications • freight forwarder software • logistics operations automation • shipment exception management • customs clearance alerts • AI shipment updates • freight status monitoring • transportation workflow automation • logistics email automation • carrier integration services • shipment delay alerts • freight operations workflow • logistics customer communication • n8n freight automation • logistics data synchronization • TMS integration • transportation management integration • shipment event processing • automated logistics reporting • shipping status API • logistics workflow developer • freight technology consultant • 3PL workflow integration • automated delivery updates • shipment milestone tracking • freight customer portal integration • logistics exception alerts • carrier API developer • logistics process optimization • AI supply chain automation • logistics database automation • freight forwarding API • shipment tracking dashboard • logistics business automation • automated freight communication • shipment lifecycle automation • n8n API workflows • logistics SaaS integration • freight management automation • shipping notification workflow • custom logistics automation • shipment reconciliation • freight exception escalation Hashtags #n8n #n8nAutomation #LogisticsAutomation #FreightForwarding #FreightTech #SupplyChainAutomation #ShipmentTracking #3PL #LogisticsTechnology #WorkflowAutomation #AIAutomation #CarrierIntegration #APIAutomation #FreightManagement #ShipmentVisibility #SupplyChainTech #LogisticsSoftware #BusinessAutomation #CustomAutomation #LogisticsOperations #ShipmentAlerts #FreightSoftware #TransportationManagement #SupplyChainVisibility #AIWorkflow #AutomationEngineer #B2BAutomation #SystemIntegration #OperationsAutomation #FreightOperations #ShippingAutomation #CustomSoftware
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PostgreSQL(15)
Hashim Ali's avatar
Hashim Ali
Pākpattan, Pakistan
Python Backend Engineer | Django, DRF, FastAPI & WebSockets
New to Contra
Python Backend Engineer | Django, DRF, FastAPI & WebSockets
Cover image for Building high-performance, asynchronous Python
Building high-performance, asynchronous Python backends that scale.
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Cover image for Development of Fapix Web Framework
Development of Fapix Web Framework
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Cover image for FinValora — Real-Time FinTech &
FinValora — 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 — 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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Cover image for Blood Donation Management System —
Blood Donation Management System — Django Web Application Developed a Django-based blood donation management platform that connects blood requests with available donors through a structured matching and coordination workflow. The system includes blood request management, donor registration, blood-group matching, request status tracking, responsive Bootstrap UI, TinyMCE-powered awareness content, contact management, and a centralized Django admin panel. Implemented data validation and automated testing for core workflows, with production-oriented Vercel deployment configuration. Tech: Django, Django Templates, Bootstrap, SQLite, TinyMCE Live: https://blood-donation-gray.vercel.app/ GitHub: https://github.com/devHashim111/blood-donation-management-system
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PostgreSQL(7)