I am an AI Automation Engineer who designs and deploys intelligent agents and scalable workflows that automate business operations end-to-end. I have 3+ years of experience building LLM-integrations, API orchestration, and no-code/low-code platforms to create self-sustaining systems across marketing, sales, and data pipelines. I also lead cross-functional teams to deliver end-to-end automation that improves efficiency and decision-making. I’m passionate about turning complex processes into measurable outcomes while upholding data governance and privacy standards.

Mohamed Moussa

I am an AI Automation Engineer who designs and deploys intelligent agents and scalable workflows that automate business operations end-to-end. I have 3+ years of experience building LLM-integrations, API orchestration, and no-code/low-code platforms to create self-sustaining systems across marketing, sales, and data pipelines. I also lead cross-functional teams to deliver end-to-end automation that improves efficiency and decision-making. I’m passionate about turning complex processes into measurable outcomes while upholding data governance and privacy standards.

Available to hire

I am an AI Automation Engineer who designs and deploys intelligent agents and scalable workflows that automate business operations end-to-end. I have 3+ years of experience building LLM-integrations, API orchestration, and no-code/low-code platforms to create self-sustaining systems across marketing, sales, and data pipelines. I also lead cross-functional teams to deliver end-to-end automation that improves efficiency and decision-making. I’m passionate about turning complex processes into measurable outcomes while upholding data governance and privacy standards.

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Experience Level

Expert
Expert
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Expert
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Expert
Expert
Intermediate
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Intermediate
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Language

English
Fluent
Arabic
Fluent

Work Experience

Data Automation Engineer at Lead Munks
January 1, 2023 - January 1, 2024
Built and deployed AI-driven lead generation agents to scrape, process, and structure data from websites, social media platforms, and Google Maps Generated 10,000+ qualified leads per month, including verified emails and phone numbers Implemented validation systems to verify email accuracy and detect WhatsApp-enabled phone numbers, improving outreach effectiveness Designed end-to-end automation workflows for lead extraction, enrichment, and delivery using APIs and no-code/low-code platforms Engineered scalable scraping systems using Apify and browser automation tools to collect large-scale, high-quality datasets Developed continuously updating lead databases, reducing manual effort and ensuring fresh, actionable data
AI Automation Engineer at Unclockwise LTD
March 1, 2024 - April 8, 2026
Designed and deployed custom AI agents and automation systems for clients across e-commerce, web development, and operational workflows. Developed and integrated LLM-based solutions and AI agents to automate business processes and improve decision-making Developed high-performance web applications and e-commerce platforms, integrating AI-driven features for improved user experience. Ensured compliance with data governance and privacy standards in all AI/automation implementations.
Chief Automation Officer at Automization
January 1, 2024 - May 1, 2025
Led the design and deployment of 300+ AI-driven automation apps, enhancing operational efficiency across Marketing, Sales, Accounting, and in-house operations for diverse industries. Architected scalable workflows and intelligent agents using Python and cloud-based solutions to streamline business processes. Managed cross-functional teams to deliver end-to-end automation solutions aligned with business objectives and best practices. Established MLOps practices for automation workflows including versioning, monitoring, and continuous improvement.

Education

Coursework in Computer Science at Modern Sciences and Arts University
January 11, 2030 - April 8, 2026

Qualifications

Introduction to Generative AI Introduction to Generative AI
June 1, 2024 - June 20, 2024
This is an introductory level microlearning course aimed at explaining what Generative AI is, how it is used, and how it differs from traditional machine learning methods. It also covers Google Tools to help you develop your own Gen AI apps.
Google: Generative AI for Developers
January 11, 2030 - April 8, 2026
Google: Introduction to Generative AI
January 11, 2030 - April 8, 2026
Make Advanced #2
January 11, 2030 - April 8, 2026
Code Academy: Certificate of Python Programming
January 11, 2030 - April 8, 2026
LinkedIn: Project Management Skills for Leaders
January 11, 2030 - April 8, 2026

Industry Experience

Software & Internet, Media & Entertainment, Professional Services, Retail, Travel & Hospitality
    paper Autonomous AI Job Search & Resume Engineering System

    Tools & Technologies: n8n, Pixtral Large (Mistral AI), Apify, Google Workspace API, JavaScript, Python.

    Project Overview

    Developed a fully autonomous “Job Search Engine” that eliminates the manual grind of job hunting by automating lead generation, qualification, and document personalization. The system transforms the traditional “spray and pray” method into a data-driven “target and win” pipeline.

    Key Features & Technical Implementation

    Automated Lead Generation: Configured Apify actors to scrape real-time job metadata from LinkedIn, ensuring 24/7 monitoring of high-relevance roles.

    AI-Driven Qualification: Built an intelligent filtering layer using Pixtral Large. The model performs a deep “mismatch analysis” between job requirements and my professional profile, filtering out low-probability leads.

    Dynamic Resume Engineering: Developed a custom JavaScript mapping system that takes LLM-generated insights and injects them into a high-end HTML resume structure, ensuring ATS compatibility and perfect professional formatting.

    End-to-End Workflow Orchestration: Leveraged n8n to connect the entire stack, automating the creation of job-specific Google Docs and logging all application data into a centralized Google Sheets dashboard for status tracking.

    Results

    Reduced the time spent on manual job applications by 90%.

    Ensured 100% personalization for every submitted resume, significantly increasing recruiter engagement.

    Built a scalable architectural pattern for AI-agent deployment in personal productivity.