constcoder={name:'Abdurrehman Yousafzai',skills:['React', 'Vite.js', 'Redux', 'Typescript', 'Javascript(Es6)', 'MySql', 'DBeaver', 'Docker', 'AWS'],hardWorker:true,quickLearner:true,problemSolver:true,hireable:function() {return(this.hardWorker&&this.problemSolver&&this.skills.length>=5);};};Who I am?
My name is Abdur Rehman, a passionate and a highly skilled Automation Engineer with hands-on experience in modern web development using the MERN stack, Node.js, React, TypeScript, and Python. I specialize in building scalable applications and automating complex business workflows with tools like Make.com, n8n, Zapier, and Airtable. I’ve contributed to projects serving over a million users and have developed automation solutions such as an automated Monday.com PDF booking system to improve efficiency. With a strong background in CI/CD and AWS cloud services, I’m passionate about creating reliable, user-focused solutions and continuously growing as a developer while collaborating effectively with teams to deliver impactful results.
Shine Foundation Website
constproject={name:'Shine Foundation Website',tools: ['React', 'Axios', 'React Router', 'Payfast Payment Integration', 'Typescript', 'Tailwind CSS', 'DBeaver', 'Python', 'AWS SES', 'AWS S3', 'SMTP', 'EC2', 'AWS Route 53', 'AWS Amplify],myRole:Automation Engineer Developer (React.js),Description: I developed the frontend for Shine.org.pk — a modern, responsive website for a nonprofit organization. Built using React.js and Tailwind CSS, the site features smooth navigation, clean UI components, and optimized performance across devices. The goal was to build a platform that communicates the foundation’s mission clearly while being accessible, fast, and mobile-friendly. It includes dynamic sections for news, events, donation integration, and volunteer sign-ups.,};Monday.com Automation
constproject={name:'Monday.com Automation',tools: ['n8n', 'Gmail API', 'Monday.com API', 'Node.js', 'JavaScript],myRole:Automation Developer,Description: I developed an automation workflow using n8n to streamline the document management process for Monday.com. The system automatically fetched PDF attachments from user Gmail accounts, extracted relevant data, and uploaded the files into Monday.com boards according to predefined columns. This automation significantly reduced manual work and improved the accuracy of record management across multiple teams.,};TikTok Data Scraping
constproject={name:'TikTok Data Scraping',tools: ['Airtable', 'Zapier', 'TikTok API', 'Python', 'JavaScript],myRole:Automation Engineer,Description: I built a TikTok automation system that fetched user data and analytics, executed scripts to process the information, and updated Airtable records automatically based on user IDs and corresponding columns. This solution streamlined influencer tracking and data synchronization, helping the team maintain up-to-date performance metrics efficiently.,};Sales Forecasting Automation
constproject={name:'Sales Forecasting Automation',tools: ['Python', 'Pandas', 'NumPy', 'Forecasting Models', 'Data Analysis],myRole:Automation & Data Engineer,Description: I created an automation to predict future sales of a brand’s products using seasonality index and forecasting models. The system analyzed historical data and generated projections for the next 4 to 5 years, providing valuable insights for inventory planning and marketing strategy. This automation helped optimize decision-making and improved demand forecasting accuracy.,};