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Aryan-strack/README.md

👨‍💻 About Me

"I don't just write code — I build products that solve real problems."

I'm a Full Stack Software Engineer based in Vehari, Pakistan, with hands-on experience in building AI-integrated, scalable web and mobile applications. Currently completing my B.S. in Software Engineering at COMSATS University Islamabad, Vehari Campus (Graduating July 2026).

  • 🏢 Experience: Web Developer @ TheCodingBuzz (Remote)
  • 🎓 Education: B.S. Software Engineering — COMSATS University, Vehari (2022–2026)
  • 🤖 Specialty: Full Stack Development + AI API Integration (OpenAI, Gemini, Hugging Face)
  • 🌍 Open to: Remote roles, Global, and Pakistan-based opportunities
  • 📬 Reach me: aryanahmad478@gmail.com

🚀 Tech Stack

💻 Frontend

⚙️ Backend

🗄️ Databases & Cloud

📱 Mobile

🤖 AI & ML

🛠️ Tools


🏗️ Featured Projects

Next.js · Node.js · MongoDB · OpenAI · Stripe

Full-featured e-commerce platform with an AI chatbot assistant, voice search, personalized product recommendations, and Stripe payment integration. Reduced customer query resolution time by 40%.


React.js · Node.js · Google Gemini API · Hugging Face

Intelligent resume analysis tool that evaluates resumes against job descriptions, provides ATS compatibility scores, and gives actionable feedback — helping candidates improve interview callback rates by ~35%.


Next.js · NestJS · PostgreSQL · Supabase

End-to-end travel booking platform with real-time availability, itinerary builder, and booking management. Handles 200+ concurrent users with optimized query performance.


Next.js · Supabase · Tiptap · Tailwind CSS · Vercel

Real-time collaborative document editor inspired by Notion, featuring live cursor presence, rich-text editing, and instant sync — built for the Ajaia AI-Native Full Stack Developer assessment.


React.js · Node.js · OpenAI API

Platform that generates UI component code from natural language prompts, accelerating frontend development workflows for developers.


Python · Scikit-learn · Pandas · R² Score: 0.88

Machine learning regression model for sales forecasting using feature engineering and ensemble methods, achieving an R² of 0.88 on test data.


📈 GitHub Stats

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📫 Let's Connect


Open to Software Engineer, Full Stack Developer, and Remote opportunities.

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