Freelance Automation Engineers in LahoreFreelance Automation Engineers in Lahore
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Haris M.'s avatar
Haris M.
proLahore, Pakistan
Full Stack Web & Mobile Dev | Next Js | AI Agent | React
2x
Hired
5.0
Rating
36
Followers
Full Stack Web & Mobile Dev | Next Js | AI Agent | React
Cover image for AI Automation for Monitoring SEC Form 4 Filings
AI Automation for Monitoring SEC Form 4 Filings
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37
Cover image for AI-Powered Automated Tech News Blogger
AI-Powered Automated Tech News Blogger
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31
Cover image for Northward Capital Investment Platform Development
Northward Capital Investment Platform Development
2
22
Cover image for Chat Buddy – Real-Time Mobile Chat Application Development
Chat Buddy – Real-Time Mobile Chat Application Development
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17
Automation Engineer(2)
Muhammad Ateeb's avatar
Muhammad Ateeb
Lahore, Pakistan
CRM Automation, APIs, GHL, Zapier, Make & Node.js
New to Contra
CRM Automation, APIs, GHL, Zapier, Make & Node.js
Cover image for HubSpot & ClickUp Two-Way Synchronization A
HubSpot & ClickUp Two-Way Synchronization A business needed HubSpot and ClickUp to stay synchronized across multiple pipelines, stages, deals, contacts, companies, lists, and tasks. The main challenge was preventing circular updates. A change in HubSpot could update ClickUp, which could then trigger HubSpot again and create an endless loop. I built customized Zapier workflows with conditional filters, dynamic field mapping, and a controlled 5-minute delay before reciprocal updates. The solution included: • Two-way synchronization between HubSpot and ClickUp • Multiple pipeline and stage mapping • Deal, contact, and company synchronization • ClickUp list and task updates • Conditional filters and custom mapping logic • 5-minute loop-prevention delay • Scalable workflow structure for future pipelines Result: The final system delivered reliable two-way synchronization, eliminated update loops, maintained cleaner data across both platforms, and created a scalable structure for additional workflows.
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52
Cover image for CRM Migration, Contract & Payment
CRM Migration, Contract & Payment Automation A business needed to migrate its customer and deal data from Copper CRM to GoHighLevel while replacing a manual contract and payment process with a connected automation workflow. I migrated the required customer and deal records, rebuilt the sales pipeline in GoHighLevel, and connected the CRM with DocuSign and Stripe through automated workflows. The completed system handled: • Customer and deal migration from Copper to GoHighLevel • GHL pipeline setup and automated stage updates • Automatic contract generation and sending through DocuSign • Contract signed triggers • Initial Stripe payment collection • Automated recurring billing • Automatic payment and deal status updates inside GHL Result: The business gained one connected customer journey from CRM entry through contract signing and payment. Contract handling, billing, and pipeline updates became automated, reducing manual administration and improving visibility across the sales process.
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81
Cover image for Custom JobTread and HubSpot Integration
Custom JobTread and HubSpot Integration with Real-Time Sync The existing setup relied on multiple automation workflows to move operational data between JobTread and HubSpot. This created higher automation costs, delayed updates, duplicate records, and limited control over complex business logic. I replaced the fragmented setup with a custom Node.js integration using the JobTread API and HubSpot CRM API. The solution included: Bidirectional job and deal synchronization Vendor synchronization between JobTread and HubSpot Tickets, daily logs, and document syncing CompanyCam data and photo workflow integration Client email replies automatically added to JobTread as comments Custom field mapping and duplicate prevention Centralized error handling, logging, and monitoring Cloud deployment for continuous operation Result: The custom integration reduced automation costs by more than 90%, eliminated duplicate records, improved synchronization reliability, and provided a scalable real-time system for managing operational data across platforms.
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80
Cover image for AI-Powered Conversation Summaries in GoHighLevel A
AI-Powered Conversation Summaries in GoHighLevel A sales team managing thousands of contacts in GoHighLevel was spending too much time reviewing long SMS and email histories before following up with leads. I built an automated AI summarization workflow inside GHL using tag-based triggers. The system collects conversation data, generates either a recent activity summary or a full conversation summary, and saves the result directly inside the contact record. It also compares new activity with previous summaries to avoid unnecessary duplication. Result: Sales reps can understand the full conversation context much faster without reading every message. The workflow saves hours of manual review, improves response speed, and scales across large contact volumes. Tools: GoHighLevel • AI • Workflow Automation • CRM Automation • API Logic
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131
Automation Engineer(4)
sharjeel mansha's avatar
sharjeel mansha
Lahore, Pakistan
AI Automation Engineer, AI Agents, CRM & AI Full-Stack Dev.
New to Contra
AI Automation Engineer, AI Agents, CRM & AI Full-Stack Dev.
Cover image for 𝐀𝐈-𝐏𝐨𝐰𝐞𝐫𝐞𝐝 𝐋𝐞𝐚𝐝 𝐆𝐞𝐧𝐞𝐫𝐚𝐭𝐢𝐨𝐧 & 𝐂𝐑𝐌
𝐀𝐈-𝐏𝐨𝐰𝐞𝐫𝐞𝐝 𝐋𝐞𝐚𝐝 𝐆𝐞𝐧𝐞𝐫𝐚𝐭𝐢𝐨𝐧 & 𝐂𝐑𝐌 𝐀𝐮𝐭𝐨𝐦𝐚𝐭𝐢𝐨𝐧 𝐒𝐲𝐬𝐭𝐞𝐦 I built an automated lead generation system designed to simplify the entire sales pipeline from lead capture to follow-up. The system collects leads from multiple sources, processes and qualifies them, adds them directly into the CRM, updates pipeline stages automatically, and triggers personalized follow-up sequences based on lead activity. Instead of managing leads manually across different tools, the entire workflow runs through one connected automation system. 𝐖𝐡𝐚𝐭 𝐭𝐡𝐞 𝐬𝐲𝐬𝐭𝐞𝐦 𝐡𝐚𝐧𝐝𝐥𝐞𝐬: -Lead capture from multiple sources -Lead enrichment and qualification -Automatic CRM entry -Pipeline stage updates -Automated follow-up sequences -Reply and meeting tracking -Opportunity management The goal is simple: reduce manual work, improve response speed, and make sure valuable leads don’t get missed. 𝐖𝐚𝐧𝐭 𝐭𝐨 𝐛𝐮𝐢𝐥𝐝 𝐚 𝐬𝐢𝐦𝐢𝐥𝐚𝐫 𝐥𝐞𝐚𝐝 𝐠𝐞𝐧𝐞𝐫𝐚𝐭𝐢𝐨𝐧 𝐚𝐧𝐝 𝐂𝐑𝐌 𝐚𝐮𝐭𝐨𝐦𝐚𝐭𝐢𝐨𝐧 𝐬𝐲𝐬𝐭𝐞𝐦 𝐟𝐨𝐫 𝐲𝐨𝐮𝐫 𝐛𝐮𝐬𝐢𝐧𝐞𝐬𝐬? 𝐋𝐞𝐭’𝐬 𝐜𝐨𝐧𝐧𝐞𝐜𝐭.
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Cover image for 𝐓𝐮𝐫𝐧 𝐎𝐧𝐞 𝐏𝐫𝐨𝐝𝐮𝐜𝐭 𝐈𝐦𝐚𝐠𝐞 𝐈𝐧𝐭𝐨
𝐓𝐮𝐫𝐧 𝐎𝐧𝐞 𝐏𝐫𝐨𝐝𝐮𝐜𝐭 𝐈𝐦𝐚𝐠𝐞 𝐈𝐧𝐭𝐨 𝐚 𝐂𝐨𝐦𝐩𝐥𝐞𝐭𝐞 𝐔𝐆𝐂 𝐕𝐢𝐝𝐞𝐨 𝐂𝐚𝐦𝐩𝐚𝐢𝐠𝐧 𝐰𝐢𝐭𝐡 𝐀𝐈 Creating multiple product videos manually can take hours. This AI-powered workflow simplifies the entire process from start to finish. Upload a single product image, and the system automatically analyzes the product, creates a complete UGC storyboard, generates multiple creative scenes, sends each scene to Google Flow for AI video generation, and then organizes everything into a final editing workflow. The result is a faster and more scalable way to create product content without repeating the same manual process for every scene. 𝐖𝐨𝐫𝐤𝐟𝐥𝐨𝐰: Product Image → AI Analysis → UGC Storyboard → Scene Generation → Google Flow → Video Clips → Automated Editing Built for brands, eCommerce businesses, agencies, and content teams that need to produce more product videos with less manual work. 𝐖𝐚𝐧𝐭 𝐚 𝐬𝐢𝐦𝐢𝐥𝐚𝐫 𝐀𝐈 𝐯𝐢𝐝𝐞𝐨 𝐚𝐮𝐭𝐨𝐦𝐚𝐭𝐢𝐨𝐧 𝐬𝐲𝐬𝐭𝐞𝐦 𝐟𝐨𝐫 𝐲𝐨𝐮𝐫 𝐛𝐮𝐬𝐢𝐧𝐞𝐬𝐬? 𝐋𝐞𝐭’𝐬 𝐛𝐮𝐢𝐥𝐝 𝐢𝐭.
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Cover image for 𝐆𝐨𝐇𝐢𝐠𝐡𝐋𝐞𝐯𝐞𝐥 𝐂𝐑𝐌 𝐀𝐮𝐭𝐨𝐦𝐚𝐭𝐢𝐨𝐧 | 𝐏𝐢𝐩𝐞𝐥𝐢𝐧𝐞𝐬,
𝐆𝐨𝐇𝐢𝐠𝐡𝐋𝐞𝐯𝐞𝐥 𝐂𝐑𝐌 𝐀𝐮𝐭𝐨𝐦𝐚𝐭𝐢𝐨𝐧 | 𝐏𝐢𝐩𝐞𝐥𝐢𝐧𝐞𝐬, 𝐅𝐨𝐥𝐥𝐨𝐰-𝐔𝐩𝐬 & 𝐋𝐞𝐚𝐝 𝐍𝐮𝐫𝐭𝐮𝐫𝐢𝐧𝐠 I designed and built a complete GoHighLevel CRM automation system to streamline 𝗹𝗲𝗮𝗱 𝗰𝗮𝗽𝘁𝘂𝗿𝗲, 𝘀𝗮𝗹𝗲𝘀 𝗽𝗶𝗽𝗲𝗹𝗶𝗻𝗲 𝗺𝗮𝗻𝗮𝗴𝗲𝗺𝗲𝗻𝘁, 𝗳𝗼𝗹𝗹𝗼𝘄-𝘂𝗽𝘀, 𝗮𝗽𝗽𝗼𝗶𝗻𝘁𝗺𝗲𝗻𝘁 𝗯𝗼𝗼𝗸𝗶𝗻𝗴, 𝗮𝗻𝗱 𝗹𝗼𝗻𝗴-𝘁𝗲𝗿𝗺 𝗹𝗲𝗮𝗱 𝗻𝘂𝗿𝘁𝘂𝗿𝗶𝗻𝗴. The workflow automatically captures new inquiries, creates and organizes contacts inside the CRM, assigns opportunities to the correct pipeline stage, and triggers automated email and SMS follow-up sequences. Calendar integration handles appointment scheduling and reminders, while nurturing workflows keep prospects engaged until they are ready to convert. I configured the complete CRM structure including sales pipelines, opportunity stages, contact management, workflow automation, email campaigns, SMS automation, calendars, reminders, lead nurturing, and funnel-based follow-ups. The system was designed to reduce manual CRM work and ensure every lead receives consistent communication throughout the sales process. The result is a more organized and automated sales operation with faster follow-up, fewer missed opportunities, better pipeline visibility, stronger lead nurturing, and a smoother path from initial inquiry to conversion. 𝐓𝐞𝐜𝐡: GoHighLevel, CRM Automation, Sales Pipelines, Workflow Automation, Email Automation, SMS Automation, Calendars, Lead Nurturing, Funnels, Webhooks, APIs.
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Cover image for I designed and built an
I designed and built an enterprise AI automation system using n8n, AI agents, RAG, Redis, and PostgreSQL to automate complex business workflows, improve decision-making, and create scalable AI-powered operations. The system uses n8n as the automation orchestration layer, where incoming business events trigger workflows that route tasks to specialized AI agents. A RAG pipeline retrieves relevant knowledge from business data sources, allowing AI agents to generate accurate, context-aware responses and decisions. Redis handles queue-based processing for high-volume tasks, while PostgreSQL stores structured data, workflow history, and audit records. The automation architecture connects multiple technologies including n8n, OpenAI API, AI Agents, RAG pipelines, Vector Databases, Redis, PostgreSQL, APIs, Webhooks, Slack integrations, Docker, and Python services to create reliable enterprise workflows. The solution helps businesses reduce manual operations, automate repetitive processes, improve response times, maintain better data accuracy, and scale AI workflows securely. It includes monitoring, validation, error handling, and human approval flows to ensure reliable production usage. Tech Stack: n8n, OpenAI, AI Agents, RAG, LangChain, Redis, PostgreSQL, Qdrant, Python, FastAPI, Docker, APIs, Webhooks, Slack.
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281
Automation Engineer(4)
HISHAM ASGHAR's avatar
HISHAM ASGHAR
proLahore, Pakistan
AI Consultant | Agents, Automation & Integrations
AI Consultant | Agents, Automation & Integrations
Cover image for Gong to Slack and Sheets Call Insight Routing
Gong to Slack and Sheets Call Insight Routing
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1
Cover image for Home Care Onboarding Intake and Approvals
Home Care Onboarding Intake and Approvals
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1
Cover image for GoHighLevel to CRM Lead Sync
GoHighLevel to CRM Lead Sync
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2
Cover image for Slack to Trello Deal Alert Routing
Slack to Trello Deal Alert Routing
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3
Automation Engineer(6)
Junaid Rana's avatar
Junaid Rana
Lahore, Pakistan
AI Automation Architect | n8n, Zapier, Make | CRM Expert
6
Followers
AI Automation Architect | n8n, Zapier, Make | CRM Expert
Cover image for Zapier Lead Capture Automation for Marketing Agency
Zapier Lead Capture Automation for Marketing Agency
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6
Cover image for Autonomous SEO Content Engine Development
Autonomous SEO Content Engine Development
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7
Cover image for High-Performance WordPress Architecture &
High-Performance WordPress Architecture & Technical SEO PROJECT OVERVIEW I don’t just "build websites"—I architect high-performance digital assets designed to rank and convert. For this project, I handled the end-to-end deployment of a sophisticated WordPress ecosystem, focusing on custom theme modification, technical SEO infrastructure, and long-term maintenance. THE CORE PILLARS Custom Design & Development: Specialized in high-authority themes (like Foxiz and Viral Pro). I implemented custom CSS/HTML modifications to ensure a "pixel-perfect" layout that balances user experience with ultra-fast load times. Technical SEO Infrastructure: Beyond standard plugins, I configured deep technical SEO—optimizing schema markup, site architecture, and Core Web Vitals to ensure 90+ scores on PageSpeed Insights. Maintenance & Security: Established a resilient maintenance protocol, including automated backups, security hardening, and database optimization to prevent operational downtime. THE RESULTS Speed: Achieved sub-1 second load times through advanced caching and image optimization. Search Authority: Implemented a site structure that allows for rapid indexing of new content. Mobile-First: Fully responsive architecture optimized for 2026’s mobile-heavy search landscape. TECH STACK & TOOLS CMS: WordPress (Advanced Customization) SEO: Yoast / RankMath (Technical API Integration) Design: Custom CSS3, HTML5, Foxiz Framework Performance: Cloudflare, WP Rocket, Database Optimization Automation: Make.com / n8n (for automated content syncing) CASE STUDY LINKS Live Portfolio: https://newscall.co/ LinkedIn URL: https://www.linkedin.com/in/junaid-rana/
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38
Cover image for AI Ad Creation Tool (URL-to-Ad Video)
AI Ad Creation Tool (URL-to-Ad Video)
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7
Automation Engineer(2)
Muhammad Luqman khan's avatar
Muhammad Luqman khan
Lahore, Pakistan
AI Automation Expert for Solar, Recruitment, Medicine
AI Automation Expert for Solar, Recruitment, Medicine
Cover image for Streamline Support Ticket Management
Streamline Support Ticket Management
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16
Cover image for Intelligent Email Query Management and Task Assignment System
Intelligent Email Query Management and Task Assignment System
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7
Cover image for Automated Lead Distribution and Weekly Email Sending Zap
Automated Lead Distribution and Weekly Email Sending Zap
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8
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Automation Engineer(3)
Mohsin Ishfaq's avatar
Mohsin Ishfaq
Lahore, Pakistan
Manual & Automation QA Engineer | Web, API & End-to-End Test
New to Contra
Manual & Automation QA Engineer | Web, API & End-to-End Test
Cover image for SauceDemo E2E Automation – Playwright
SauceDemo E2E Automation – Playwright Python + PyTest | POM Framework | 6 Tests Automated Overview: Automated https://www.saucedemo.com using Playwright Python + PyTest + Page Object Model built from scratch. Test Coverage (6 Tests): TC01 Valid login with standard_user TC03 Locked out user error validation TC09 Add single item to cart (Backpack) TC11 Remove item from products page TC15 Checkout with missing first name validation TC17 Complete happy path checkout E2E Framework: POM with login_page, products_page, cart_page, checkout_page, conftest fixtures, pytest-html reports, video recording Execution: 6/6 Passed | GitHub: https://github.com/mohsin-ishfaq/saucedemo-playwright-automation Tech: Python, Playwright Sync API, PyTest, POM
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95
Cover image for ClixCreative – AI-Powered Event Management
ClixCreative – AI-Powered Event Management Platform QA | Multi-Portal | NDA Protected Overview: Multi-portal platform connecting event organizers, photographers, videographers, attendees with AI face recognition for media discovery. 4 portals: Organizer, Creator, Attendee, Admin. My Role: Sole QA Engineer (handled 4 concurrent products at Analytica Data) Work I Did: Managed complete QA lifecycle independently for 4 portals AI Features: Tested face recognition accuracy - upload 100 event photos, AI groups by person, attendee searches own photos by selfie. Validated AI photo search precision/recall Event Management: Event creation, invitation, creator assignment (photo/video), schedule, budget Media Workflows: Upload 500+ photos/videos (2GB), processing, AI tagging, attendee access control, download with watermark, payment for premium downloads Payment testing: Event package pricing, creator payout, attendee purchase - Stripe integration validation RBAC: Organizer only sees own events, Creator only assigned events, Attendee only own media Built comprehensive regression suites - 120+ test cases maintained Production validation before releases Impact: Stable releases while handling 4 products in parallel, maintained high coverage regression Tools: Manual Testing, Regression, Jira, Chrome DevTools, BrowserStack Domain: Event Management + AI/Media Platform
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Cover image for FAB Glass & Mirror –
FAB Glass & Mirror – Custom Glass & Mirror E-commerce Platform QA [USA] | Feb 2022 – Dec 2023 | NDA Protected Overview: US e-commerce since 2011 - custom cut glass, tempered glass, shower doors, mirrors, table tops, railings, acrylic - nationwide shipping, hundreds of thousands customers. Work I Did: Tested complex custom quoting engine: pricing by dimensions (width/height), glass type, thickness, edgework (polished/beveled), add-ons (holes, notches) Validated measurement validation: min/max limits, aspect ratio, boundary conditions - found bug allowing 0.1 inch glass Full ordering workflow: configurator > cart > checkout (shipping calculation by size/weight) > payment > order tracking Found 50+ defects in pricing algorithms - e.g., tempered glass 0.5" pricing calculated as 0.25", shower door hinge cutout fee missing UI/UX validation: configurator usability, measurement input error messages, mobile responsiveness Regression after each release - prevented re-introduction of pricing bugs Impact: Improved pricing accuracy to 99.8%, reduced incorrect quotes by 90% Tools: Manual Testing, Regression, UI/UX Validation Domain: E-commerce Custom Manufacturing | Market: USA
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Cover image for StockTargetAdvisor – Investment Research &
StockTargetAdvisor – Investment Research & Stock Analytics Platform QA [Canada] | FinTech | NDA Protected Overview: Canadian FinTech platform delivering stock ratings, target-price predictions, market insights, ML-powered investment recommendations. Work I Did: Tested financial data accuracy: stock ratings (Buy/Hold/Sell), target prices, research reports, watchlists, recommendation engine Validated dashboard calculations: portfolio performance, gain/loss, dividend yield Verified ML-generated insights match UI presentation across 20+ user workflows Regression testing each sprint - 70+ test cases Defect tracking in Trello - 30+ bugs reported Production verification post-deployment Tools: Manual Testing, Functional/Regression, Trello Domain: FinTech/Investment Research
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Automation Engineer(8)