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jawadchy2150/README.md

Hi 👋, I'm Jawad Chowdhury

QA Engineer || Aspiring Data Scientist 🚀

👨‍💻 About Me

I'm a Software Engineer (QA) with a growing passion for development and data science. I enjoy solving real-world problems through code and continuously expanding my skillset in both frontend and AI domains.

  • 🔍 Currently exploring: Machine Learning (via a hands-on bootcamp on Udemy)
  • 🛠️ Comfortable with: JavaScript, Python, and React
  • 🎯 Goal: Make a transition into more development-focused or data-centric role
  • 📈 Always curious and learning — one project at a time!

🛠️ Technologies & Tools

JavaScript Python React Next.js

🌐 Projects

  • 🏠 PropertyPulse — Rental Property Management Web App
    A modern platform for listing and managing rental properties with powerful image and state management features.
    🔧 Built with: Next.js, MongoDB, NextAuth (Google Auth), Tailwind CSS, Cloudinary, PhotoSwipe, Serverless API Routes
    🧪 Features: Google login, image uploads via Cloudinary, responsive photo gallery, server-side rendering, and dynamic data via API routes
    👉 Live Demo

  • 🛒 Better Call Us — Full-Stack E-Commerce Website
    A complete MERN stack e-commerce platform with secure authentication, file upload, and integrated payment system.
    🔧 Built with: MongoDB, Express.js, React, Node.js, Redux, JWT (HTTP-only cookies), Multer, PayPal API, Bootstrap
    🧪 Features: JWT auth with cookies, Redux-based global state, PayPal integration, file uploads with Multer
    👉 Live Demo

📊 GitHub Stats

Jawad's GitHub Stats

🔗 Connect with Me

LinkedIn

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  1. LLM-inference-interventions LLM-inference-interventions Public

    Replication of “Language Lives in Sparse Dimensions” (Section 3) using TinyLlama: identify sparse language dimensions from activations and steer generation via hidden-state intervention.

    Jupyter Notebook

  2. BHI-2025-Team_Blackout-track1 BHI-2025-Team_Blackout-track1 Public

    An interpretable machine learning approach for the BHI 2025 Data Challenge (Track 1), predicting depression risk from clinical and demographic data.

    Jupyter Notebook

  3. AI-Detection-with-ViT AI-Detection-with-ViT Public

    This repository implements a text-to-image rendering pipeline that converts AI-generated and human-written text datasets into document-style images for vision-based classification using Vision Tran…

    Jupyter Notebook

  4. Hateful_Benchmark Hateful_Benchmark Public

    Benchmarking multiple vision-language models (LLaVA, Qwen, Gemini, Claude) on the Hateful Memes dataset using image-text reasoning tasks.

    Jupyter Notebook 1

  5. Data-Science-Course-Udemy- Data-Science-Course-Udemy- Public

    Learn foundational and advanced ML & NLP concepts, from algorithms to deep learning and transformer models. Gain hands-on experience with real-world projects in healthcare, finance, and e-commerce.…

    Python 1

  6. Rent-Property Rent-Property Public

    A Next.js-based web application for browsing and managing rental properties. This project aims to provide an intuitive and responsive interface for property listings. Built with a focus on scalabil…

    JavaScript 1 1