Hey, I'm Wahb
— I Build Fast & Scalable Web Apps 🚀

Full-Stack Web Developer 💻 — Building Scalable Web Apps 🚀

I turn complex ideas into elegant, fast, and reliable web applications.

Turning ideas into full-stack apps — from my terminal to the cloud ☁️💻

What I Work With

My Projects

Real apps I built & shipped — each entry includes the problem I solved, the approach I took, and the outcome. Click any card to read the case study.

Modern E-Commerce Store

Full-Stack Developer

Next.jsStripeOAuthTailwind

A fully functional e-commerce platform with OAuth, fake Stripe checkout, and a client-safe read-only admin dashboard.

Live Demo Code

ML Project Coming Soon

ML Engineer

Pythonscikit-learnpandas

Exciting machine learning project under development. Stay tuned!

👨‍💻 About Me

I'm Wahb, a self-taught developer building high-performance web apps and exploring machine learning. Currently diving deep into Python, Pandas, NumPy, and scikit-learn to integrate intelligent features into my projects. My journey spans full-stack web development, deploying apps on Linux VPS, and now venturing into data-driven solutions.

⏳ Active Dev Journey

218d 17h 11m

218d

Days in Dev Flow

Projects Deployed

Yes 🐧

Self-Hosted on VPS

⚡ Quick Facts

Frontend: React, Next.js, Tailwind CSS, Framer Motion
Backend: Node.js, Express, MongoDB, Mongoose
Machine Learning & AI: Python, NumPy, Pandas, scikit-learn, PyTorch (deep learning focus)
Mathematics: Linear Algebra, Calculus, Probability & Statistics — essential for ML & AI
Deployment: Linux VPS (manual + CLI-based), Docker basics for experimentation
Learning by doing: building real-world apps, experimenting with AI/ML models, shipping projects

🚀 Learning Timeline

Early 2025: Started with frontend foundations (HTML/CSS)

Spring 2025: Built small projects with JavaScript

Mid 2025: Shifted to React, Tailwind & Next.js

Summer 2025: Deployed 3 full-stack web apps

Now (Advanced): Deep-diving into advanced math (linear algebra, probability, calculus) and PyTorch — building foundations for AI/ML model development.

Next: Apply PyTorch to small models: data pipelines, training loops, debugging, and basic model deployment experiments.

Future: Scale to real-world AI projects: model optimization, deployment, and contributing to open-source AI tooling.

“Still early in the journey — but building like I mean it.”

Let’s build something together 💡

Prefer email or quick socials? Hit up the form below or use one of the links — I usually reply within 48 hours.

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Hey, I'm Wahb— I Build Fast & Scalable Web Apps 🚀