About me

Hello! I'm Rafik Shukralla, a full-stack engineer who is more passionate about backend development, but able to deliver frontend functionality and design.

I enjoy building web apps, yet my curiosity extends beyond web development as I am eager to explore cybersecurity, machine learning, and embedded systems.

Throughout my journey, I've come to appreciate how rewarding it is to solve challenges and bugs that emerge in the process of software development.

Technologies I know:

Nextjs React Python Firebase

Projects

Roomventory

Roomventory

Web app that helps roommates manage their inventories and shopping lists, with features such as AI shopping suggestions and expense tracking.

Live Source
Prof Finder

Prof Finder

AI-powered app that helps students find professors by matching reviews (from ratemyprofessor.com) that are semantically similar to the user's query.

Live Source
lightcard

Lightcard

Lightcard generates study flashcards based off user query, leveraging AI technology to enhance learning and improve memory retention.

Live Source
Churn Sense

Churn Sense

Churn Sense is a machine learning project predicting bank customer churn using models like XGBoost and Random Forest, with a Streamlit web app.

Live Source
Chatstarter

Chatstarter

A messaging web app with real-time chat functionality, image sharing, and chat moderation, built with Next.js, Tailwind CSS, Convex, and Groq API.

Live Source
Brain Tumor Classifier

Brain Tumor Classifier

The Brain Tumor Classifier analyzes brain MRI scans to detect and identify tumor types, built with Streamlit and powered by Xception and MobileNet CNN models.

Live Source