Freelance Business Operationss in Lahore
Freelance Business Operationss in Lahore
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Ali Nawaz
pro
Lahore, Pakistan
Product, Project & Automation Systems That Scale
$25k+
Earned
2x
Hired
25
Followers
Expert
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Product, Project & Automation Systems That Scale
0
Client Health Score System for GoFunnels
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35
$11K+ earned
1
Streamlined Project Management with ClickUp for Drip Designs
1
40
0
AI Voice Agent Multi-Tenant Client Dashboard
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73
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PromptMaker – AI Prompt Engineering Web App
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54
Business Operations
(2)
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Muhammad Ali
Lahore, Pakistan
Scaling B2B revenue via advanced agentic automation.
New to Contra
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Scaling B2B revenue via advanced agentic automation.
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Aesthetic Creator OS: Digital Workflow & Productivity Architecture The Objective: To eliminate operational drag and disjointed workflows for high-volume digital creators by engineering a centralized, aesthetically optimized command center. The Solution: Developed the Aesthetic Creator OS, a comprehensive infrastructure built entirely within Notion. Instead of relying on fragmented apps for planning, scripting, and asset management, this system unifies the entire content lifecycle into a single, high-efficiency digital workspace. It is designed to scale with the user, treating content creation like a structured business pipeline. Core Capabilities & Tech Highlights: Pipeline Automation: Features interconnected databases that automatically track content from ideation to production and publishing. Asset Architecture: Centralized resource hubs for storing brand assets, scripts, and high-retention storytelling frameworks. Aesthetic UI/UX: Built with a premium, visually engaging interface designed to reduce cognitive load and enhance daily usability. Scalable Systems: Structured to act as a foundational operating system that grows alongside a creator's brand and revenue streams. The Impact: Transformed chaotic digital environments into a streamlined, professional-grade production studio, saving hours of weekly administrative overhead.
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Autonomous AI Voice Agent: 24/7 Inbound Call & Appointment Scheduler Built an end-to-end autonomous AI Voice Agent designed to handle inbound business calls, answer FAQs with ultra-low latency, and book client appointments directly into calendar systems. 🛠️ Key Features & Technical Architecture: • Natural Conversational AI: Integrated Vapi AI for lifelike, natural-sounding voice interactions with zero awkward delays. • Custom Python Backend: Engineered robust backend logic using Python to manage dynamic call flow states, session context, and lead data. • Automated Scheduling Sync: Connected real-time webhook integrations to check live availability and instantly lock in calendar bookings during the call. • 24/7 Business Coverage: Eliminates missed inquiries and converts cold inbound calls into confirmed client appointments automatically. 💻 Tech Stack: Vapi AI, Python, Webhooks, REST APIs, Calendar Integration
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68
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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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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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83
Business Operations
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Muhammad Abaidullah
Lahore, Pakistan
Hi, I'm Muhammad Abaidullah, a Full Stack Software Engineer.
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Hi, I'm Muhammad Abaidullah, a Full Stack Software Engineer.
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| Enterprise School Management & Digital Assessment System | Developed and enhanced an enterprise-grade, scalable School Management System designed to streamline academic operations, digital assessments, and institutional reporting. The system was built using Angular (TypeScript) for the frontend, .NET for backend APIs, and MySQL as the database. Key Features: Role-Based Multi-User System Principal dashboard for institutional insights, reports, and monitoring Teacher portal for generating tutorials, worksheets, and assessments Student portal for attempting quizzes, submitting responses, and tracking progress Digital Assessment & Content Management Tutorial and worksheet assignment to specific classes and sections Teacher-driven paper/quiz generation and class-level distribution Student submission workflows with evaluation tracking Advanced Reporting & Analytics Student Profile Reports and Master Reports with filtering (class, subject, date range) Teacher and Student activity history tracking Performance insights including assigned, completed, and pending work Export functionality (PDF/Excel) for institutional reporting Teacher Evaluation System Configurable assessment forms for teacher performance monitoring Structured evaluation criteria with result tracking Complaint & Feedback Management Built-in complaint portal with categorized tracking (received, satisfied, unsatisfied) Transparency in issue resolution workflows Administrative Controls Student migration between classes/sections Section and session management Teacher account and class assignment management School profile configuration and institutional settings Learning Resources Module Centralized access to tutorials and educational content for different classes Scalability & System Enhancement Refactored and optimized existing architecture for better scalability Improved performance and modularization of features Enhanced user experience across dashboards and workflows
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Developed an enterprise-grade, scalable web application for academic institutions to manage digital paper generation and assessment workflows using Angular (TypeScript) for the frontend and .NET for backend APIs, with MySQL as the database. The system supports a complete multi-role ecosystem including Admin, Principal, Teacher, and Student portals. It enables centralized management of schools, classes, subjects, and academic content, while providing seamless paper generation, assignment, and evaluation processes. Role-based access control ensures secure and efficient operations across different user levels. Key features include: Multi-role system (Admin, Principal, Teacher, Student) Manual and automated paper generation workflows Class, subject, and school management modules Paper assignment and online quiz/assessment system Student attempt and submission tracking Principal dashboard for paper history, reports, and analytics Lesson planning and academic content organization Centralized admin controls and system configuration This project demonstrates strong expertise in full-stack development, system architecture design, and building enterprise-level academic management and assessment solutions.
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Developed an enterprise-grade, scalable web application for real-time monitoring and management of oxygen tank fleets using Angular (TypeScript) for the frontend and .NET for backend APIs, with MySQL as the database and deployed on Microsoft Azure. The system provides live telemetry dashboards, tank inventory tracking, alarm monitoring, and user activity auditing. It includes role-based access control, configurable alert mechanisms, and detailed reporting modules to ensure operational efficiency and safety compliance. Key features include: Real-time telemetry monitoring with status classification (Normal, Warning, Critical) Tank fleet management (mobile & stationary units) Role-based permissions and user management Alarm system with notifications, response tracking, and logs Login audits and session tracking for security Cloud deployment on Azure ensuring scalability and reliability This project demonstrates strong experience in full-stack development, cloud deployment, system design, and building enterprise-level monitoring solutions.
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I developed Works ERP, a complete web-based workshop management system designed to streamline inventory control, production tracking, stock movement, reporting, and administrative operations for a manufacturing/workshop environment. The system includes a full Production Module where users can issue raw materials for finished products or parts, receive production against issued batches, manage material returns, review production losses, and configure product/parts recipes. It helps maintain accurate production quantities, pending batches, received quantities, shortages, and material usage. I also implemented Reports & Stock Balance Modules including stock ledger, production summary, raw material stock balance, product stock balance, machine spare parts stock balance, and parts stock balance. These modules allow users to track item-wise stock movement, current balances, production history, quantities, prices, and total stock value with filters and searchable reports. The Admin Operations Module includes user management, permission controls, login audits, and login session tracking. It provides role-based access control, user activity monitoring, and secure permission handling for different application features. Additionally, the system includes a Drawing Module for assigning and managing drawing numbers, die numbers, revision history, and references for finished products and parts. This project was built to improve workflow accuracy, reduce manual inventory errors, provide real-time production visibility, and give management better control over workshop operations through a clean and professional web interface.
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58
Business Operations
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Ahmad Yar
Lahore, Pakistan
Revenue Operations Consultant | | Expert in Automations
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Revenue Operations Consultant | | Expert in Automations
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Built ClickUp systems for projects, responsibilities, KPIs, issues, processes, approvals, and delivery work. The setup gives teams better visibility into what is happening and who owns the next step.
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Built lightweight AI apps, prototypes, and internal tools around real business tasks, from data handling and content workflows to lead management and automation.
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28
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Designed and built AI-assisted SEO websites and landing pages with clean UI, responsive layouts, clear messaging, lead capture, and business integrations.
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32
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Built AI-assisted workflows that turn source material into organized drafts for review, publishing, and distribution. The automation removes repetitive content work while keeping human review in the process.
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71
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