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Coding
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Coding
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Achievement: Pair ExtraordinaireAchievement: QuickdrawAchievement: YOLO

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wasim-builds/README.md
Passionate Software Engineer | Full-Stack Developer | Data & AI Enthusiast

I love building scalable backend systems, interactive web applications, and experimenting with new technologies. My portfolio spans a wide range of domains—from building robust Go cryptographic tools and C++ deep learning structures to crafting beautiful React/Next.js frontends and Python data dashboards.

🛠️ Tech Stack & Tools


📊 GitHub Stats

🌟 Top Open-Source Contributions


🚀 Highlighted Projects

  • 🕯️ Candle Shop - A full-stack, responsive E-Commerce platform built with Next.js, Tailwind, and TypeScript.
  • 🔐 File Encryption - A highly memory-efficient, chunked file encryption utility written in Go (AES-GCM).
  • 🧠 MiniTensor-CUDA - Low-level deep learning and tensor manipulation experiments in C++ and CUDA.
  • 📈 E-commerce Dashboard - A dynamic BI Analytics dashboard built with Python, Streamlit, and Plotly.
  • 🎯 CodeToCareer - An interactive tech interview preparation platform with 35+ topics.
  • 🦀 Resume CLI - A command-line tool written in Rust to display beautifully formatted resumes in the terminal.

Pinned Loading

  1. Data-Structures-using-java Data-Structures-using-java Public

    This repository contains Java implementations of fundamental Data Structures and Algorithms (DSA). It is designed to help developers and students understand and apply key concepts efficiently. 🔹 Fe…

    Java 5

  2. iris-classification-naive-bayes iris-classification-naive-bayes Public

    This project implements a Gaussian Naïve Bayes classifier on the Iris dataset using scikit-learn. It achieves high accuracy in classifying iris species based on petal and sepal measurements.Evaluat…

    Jupyter Notebook 4

  3. machine-learning-using-python machine-learning-using-python Public

    checking accuracy of each model in machine learning using different data sets

    Jupyter Notebook 4

  4. spam-email-detection spam-email-detection Public

    This project aims to classify emails as spam or ham (not spam) using machine learning techniques. We use Natural Language Processing (NLP) and Supervised Learning to build an efficient classifier.

    Jupyter Notebook 5

  5. text-based-emotion-classifier text-based-emotion-classifier Public

    Research and implementation of text classification techniques for Indian languages using Naive Bayes, SVM, ANN, and N-gram models. Focused on handling linguistic challenges and improving retrieval …

    Jupyter Notebook 4

  6. file-encryption file-encryption Public

    A robust cryptographic tool developed in Go (1.24+) that solves the memory limitation of standard file encryption. It implements a custom chunking architecture (64KB blocks) with AES-GCM and increm…

    Go 5