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Creative Developer

Crafting immersive digital experiences with cutting-edge technologies and elegant design.

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About Me

I'm a Computer Science graduate who finds beauty in the "under the hood" mechanics of software. Whether I'm architecting a Go backend, optimizing a data pipeline, or fine-tuning an API, I'm driven by a need for performance and correctness.

My approach to engineering is heavily influenced by my life outside of the IDE. As a martial arts and fitness enthusiast, I believe in the power of incremental improvement and technical discipline, principles that translate directly to writing clean, maintainable code. When I'm not debugging systems or training, you'll likely find me immersed in a complex strategy game or lost in a book.

I'm on the hunt for a graduate or junior role where I can grow as an engineer while working in a collaborative, engineering-focused team.

Toolkit

Frontend

HTML, CSS, JavaScript, TypeScript, React, Vue

Backend

Node.js, Python, Java, Go, Rust, Sqlite, Redis, PostgreSQL, MySQL

Frameworks

Express, Django, Flask, Spring Boot, Gin, FastAPI

Selected Projects

Notes CLI

A fast Go CLI that takes a lecture transcript, and appends them to a JSON file grouped by course.

Overview

Adresses the problem of taking notes from lectures, and transforms lecture transcripts into structured, detailed AI notes. Grouped by course, synced to Joplin, and searchable via a built-in AI Assistant. GitHub

Project Screenshot 1

Tech Stack

  • Go (Core Logic)
  • Groq (AI Handler)
  • Joplin (Interpreter)
  • JSON (local storage)

Social Network RAG

A tool that analyzes social networks and provides insights into the structure and dynamics of the network.

Overview

A social network analysis tool that turns raw group chat exports into an interactive graph and exposes that analysis as an API and MCP server, allowing easy integration for AI models. Drop in a chat file, get back a structured map of who influences who, who brokers information between groups, and what the team is talking about. GitHub

Project Screenshot 2

Tech Stack

  • Uvicorn (Server)
  • FastAPI (API)
  • NetworkX, KeyBert (Analysis)
  • Sentence Transformers (Embeddings)
  • MCP (Anthropic SDK)

AI Content Detector

A web app designed to detect whether text is AI generated or not.

Overview

The AI Content Detector (AI-CD) is a web application designed to help users determine whether a given text is likely to have been generated by an AI or written by a human. The application consists of a Flask-based backend API for AI content detection and a React-based frontend for user interaction. GitHub

Project Screenshot 3

Tech Stack

  • Flask (Backend)
  • React, Node.js (Frontend)
  • REST APIs
  • Self-trained detector model (Pandas, Numpy, Google Colab)

Get In Touch

Interested in working together? Let's build something extraordinary.

LinkedIn: linkedin.com/in/mubashir-dawood-a1b2c3d4/

Email: mubashir.dawood4@gmail.com

GitHub: github.com/MubashirD04

WhatsApp: +27 82 760 5538

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