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",
]| 🧬 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" } |





