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H0NEYP0T-479/README.md

Header

Typing SVG



🧠 SYSTEM.INITIALIZE()

class ShoaibRafiq:
    def __init__(self):
        self.username    = "H0NEYP0T-479"
        self.name        = "Shoaib Rafiq"
        self.location    = "Lahore, Pakistan 🇵🇰"
        self.role        = "Full-Stack Developer & ML Enthusiast"
        self.university  = "Lahore Garrison University"
        self.degree      = "BSCS — 6th Semester"
        self.email       = "shoaibmayo0479@gmail.com"

    @property
    def tech_stack(self):
        return {
            "languages":     ["Python", "JavaScript", "TypeScript", "C/C++"],
            "frontend":      ["React", "Next.js", "TailwindCSS", "Vite"],
            "backend":       ["Node.js", "Express", "Flask", "FastAPI", "Django"],
            "databases":     ["MongoDB", "PostgreSQL", "MySQL", "SQLite"],
            "ml_ai":         ["Computer Vision", "Deep Learning", "ViT", "U-Net",
                              "scikit-learn", "PyTorch", "OpenCV"],
            "cloud_devops":  ["AWS", "GCP", "Docker", "Git & GitHub", "Vercel", "Render"],
        }

    def flagship_projects(self):
        return {
            "ViT-UNet-LC":    "Lung cancer classification + segmentation — hybrid ViT + U-Net on LC25000",
            "MERN-Apps":      "Full-stack web applications — React + Node.js + MongoDB + JWT auth",
            "AWS-Cloud-Lab":  "Cloud infrastructure — EC2 + S3 + IAM deployment pipelines",
            "NLP-Classifier": "Sentiment analysis — Multinomial Naive Bayes on IMDB 50K reviews",
        }

    def current_mission(self):
        return [
            "🤖 Building AI-powered full-stack applications",
            "🧬 Researching Vision Transformers for medical imaging",
            "☁️  Mastering Cloud Services (AWS / GCP)",
            "📦 Shipping production-ready web applications",
            "🎓 Leveling up through BSCS @ LGU",
        ]


⚡ TECH ARSENAL

🤖 AI / ML & Computer Vision

Computer Vision Deep Learning PyTorch scikit-learn OpenCV ViT U-Net

🌐 Full-Stack (MERN + FastAPI)

React Node.js FastAPI MongoDB TailwindCSS TypeScript Vite Next.js Express Flask Django JWT

🗄️ Databases & Storage

PostgreSQL MongoDB MySQL SQLite Firebase

🚀 Cloud & DevOps

AWS GCP Docker GitHub Actions Vercel Render

👨‍💻 Languages

Python JavaScript TypeScript C/C++


🎯 FEATURED PROJECTS

🧬 ViT-UNet Lung Cancer Detector

Lung Cancer Classification + Segmentation

Tech: PyTorch · ViT · U-Net · Flask · React/Vite

python research = { "architecture": "Hybrid ViT + U-Net", "dataset": "LC25000 (lung & colon)", "tasks": ["Classification", "Segmentation"], "stack": "Flask Backend + React Frontend", "approach": "Transformer-based medical imaging" }
🌐 Full-Stack MERN Applications

Scalable Web Apps with Modern Stack

Tech: React · Node.js · MongoDB · Express · JWT

python app = { "frontend": "React + TailwindCSS + Vite", "backend": "Node.js + Express REST APIs", "database": "MongoDB + PostgreSQL", "auth": "JWT-based authentication", "style": "Clean, responsive, modern UI" }
☁️ AWS Cloud Lab Projects

Cloud Infrastructure & Deployment

Tech: AWS · EC2 · S3 · IAM · Cloud Architecture

python lab = { "platform": "Amazon Web Services", "services": ["EC2", "S3", "IAM"], "tasks": "Instance setup + storage", "course": "CSC 382 Cloud Computing @ LGU", "outcome": "Production deployment pipelines" }
🤖 NLP Sentiment Classifier

IMDB 50K Reviews Analysis Pipeline

Tech: Python · scikit-learn · Naive Bayes · NLP

python model = { "algorithm": "Multinomial Naive Bayes", "dataset": "IMDB 50,000 Reviews", "task": "Binary Sentiment Classification", "pipeline": "Production-grade NLP pipeline", "course": "ML Assignment @ LGU" }


📊 GitHub Analytics

GitHub Streak

GitHub Stats

Top Languages

Activity Graph


🌐 Connect With Me

LinkedIn Email GitHub


✍️ Thoughts Behind the Syntax


Snake animation


Made with ~HONEY🤍

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