Freelancers using Google Sheets in LahoreFreelancers using Google Sheets in Lahore
AI Integration & Automation Engineer | Full-Stack Web Apps
$50k+
Earned
65x
Hired
4.9
Rating
123
Followers
AI Integration & Automation Engineer | Full-Stack Web Apps
Full Stack Web & Mobile Dev | Next Js | AI Agent | React
1x
Hired
5.0
Rating
28
Followers
Full Stack Web & Mobile Dev | Next Js | AI Agent | React
Verified B2B Leads & Data Enrichment for Outreach
5.0
Rating
13
Followers
Verified B2B Leads & Data Enrichment for Outreach
Scaling B2B revenue via advanced agentic automation.
New to Contra
Scaling B2B revenue via advanced agentic automation.
Cover image for Enterprise AI Outbound Engine: Programmatic
Enterprise AI Outbound Engine: Programmatic Domain Auditing & Hyper-Personalized Lead Acquisition The Objective To eliminate the extremely low conversion rates associated with generic, high-volume cold email strategies. This asset was engineered to build an automated, zero-latency outbound prospecting infrastructure that conducts programmatic technical audits on target company websites in real time. By delivering immediate, hyper-personalized value to a prospect’s inbox, the system dramatically increases cold response rates and shortens sales pipeline velocity. System Architecture & Workflow Breakdown The underlying logic is built as an asynchronous, multi-stage agentic data pipeline that seamlessly processes targets from raw data cells to a finalized outbound delivery: Stage 1: Automated Data Ingestion & Polling: The system monitors a centralized data core (Google Sheets) via automated webhooks, continuously scanning for newly appended prospect leads and tracking operational states to prevent duplicate processing. Stage 2: Programmatic Web Scraping: The workflow executes custom HTTP GET requests to isolate, scrape, and ingest live front-end code, metadata, and structural configurations directly from the target company's domain. Stage 3: Multi-Layered LLM Synthesis: The raw web payload is dynamically passed through dual-stage Large Language Model (LLM) API completion nodes. The first node isolates optimization bottlenecks on the prospect's site. The second node acts as a context-aware copywriter, translating those raw gaps into a polished, bespoke audit tailored specifically to the business owner. Stage 4: Automated SMTP Deployment: The finalized custom audit and strategic pitch are formatted into an email payload and routed through an automated mail-server node to deliver the value statement directly to the decision-maker. Stage 5: Closed-Loop State Sync: Upon successful delivery, a final write-back module updates the primary database row with full timestamp logs and execution states, establishing a clean audit trail. Core Capabilities & Tech Highlights Context-Driven Hyper-Personalization: Completely bypasses basic name-merge fields by extracting live, domain-specific text to generate authentic, high-impact value statements unique to every recipient. Token-Optimized Payload Ingestion: Employs advanced parsing to strip out irrelevant source code before sending data to the LLM core, preserving maximum contextual relevance while drastically lowering API computational costs. Scale-Ready Asynchronous Architecture: Engineered to execute complex web audits and custom draft writing sequentially across hundreds of target leads simultaneously without causing operational bottlenecks or memory overloads. Inbound Funnel Multiplier: Directly interfaces with modern outbound deliverability systems, protecting domain authority by replacing blind spam with highly targeted, consultative tech audits.
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Cover image for Autonomous Google Reputation Engine: Agentic
Autonomous Google Reputation Engine: Agentic Review Filtering & Human-in-the-Loop Approval The Objective: To protect brand equity and automate reputation management by instantly intercepting, analyzing, and resolving negative Google reviews through a highly controlled AI triage system. The Solution: Architected a sophisticated, multi-stage agentic workflow that continuously monitors a Google Business Profile. When a negative review is detected, the system triggers an intelligent processing chain. Instead of blindly publishing an automated response, the system utilizes a custom Google Gemini AI node to analyze the sentiment and draft a highly contextualized, empathetic reply. It then pauses the workflow and routes an immediate approval request directly to the business owner via messaging integration (e.g., Slack or SMS). Once the owner reviews and approves the drafted message with a single click, the system dynamically pushes the final response back to Google to resolve the dispute. Core Capabilities & Tech Highlights: Negative Review Interception: Autonomous detection of sub-4-star or critical feedback to immediately trigger reputation-safeguard protocols without manual monitoring. Human-in-the-Loop (HITL) Automation: Implements an enterprise-grade approval loop, ensuring the business owner maintains absolute control before any external communication is finalized. Context-Aware LLM Response Generation: Utilizes Google Gemini API architectures to evaluate customer sentiment and generate professional, brand-aligned de-escalation responses. Dynamic Notification Webhooks: Leverages secure data backends (like Airtable) and custom HTTP POST requests to sync review status, push interactive approval messages to the owner, and execute the final deployment. The Impact: Replaced stressful, manual public relations tasks with a 24/7 automated brand safeguard that protects local search rankings while maintaining complete executive control over customer communications.
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Cover image for Premium 3D Dental Infrastructure: Dynamic
Premium 3D Dental Infrastructure: Dynamic AI-Driven Conversion Engine The Objective: To modernize patient acquisition for high-end clinical practices by replacing outdated, static web layouts with an immersive, high-converting digital ecosystem. The Solution: Engineered a premium, fully responsive dental web infrastructure designed to capture high-value leads automatically. Moving completely away from traditional static pages, this platform utilizes high-performance dynamic components and fluid visual animations to build instant brand authority. The ecosystem features seamless lead generation architectures paired with a fully integrated, highly autonomous Agentic AI Chatbot to guide users from initial discovery to booking. Core Capabilities & Tech Highlights: Dynamic 3D Web Experience: Implements cutting-edge animations and interactive UI layers that break the mold of standard medical websites, significantly maximizing user session duration. Agentic AI Integration: Features an intelligent conversational agent—not a basic keyword-matching chatbot—capable of interpreting complex patient inquiries, qualifying leads, and handling advanced intent workflows autonomously. High-Conversion Lead Capture: Strategically positioned, interactive lead generation forms mapped to user behavior to maximize data capture while minimizing friction. Automated Intake Pipelines: Built to capture user interactions and route pre-qualified inquiry data directly to back-end administrative systems, removing operational drag. The Impact: Developed a scalable, high-retention blueprint for the healthcare sector that transforms passive web traffic into automated, pre-qualified customer pipelines.
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36
AI Automation Architect | n8n, Zapier, Make | CRM Expert
6
Followers
AI Automation Architect | n8n, Zapier, Make | CRM Expert
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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AI Automation Expert for Solar, Recruitment, Medicine
AI Automation Expert for Solar, Recruitment, Medicine