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Mohammed Tazeem Wajahat

@richrebellion7
  • richrebellion7
  • README.md

πŸ‘‹ About Me

I'm a Computer Science Engineering student specializing in Artificial Intelligence and Machine Learning. I am passionate about AI, software development, and building technology-driven solutions for real-world problems. I enjoy exploring emerging technologies and developing innovative projects that combine machine learning, computer vision, and generative AI.


πŸ’» Technical Skills

Programming Languages

  • Java
  • Python

Artificial Intelligence & Machine Learning

  • Machine Learning
  • Generative AI
  • Large Language Models (LLMs)
  • Prompt Engineering
  • Retrieval-Augmented Generation (RAG)

Tools & Technologies

  • Git & GitHub
  • LangChain
  • FAISS Vector Database
  • Google Gemini API
  • Streamlit

Core Computer Science

  • Data Structures & Algorithms
  • Object-Oriented Programming (OOP)
  • Database Management Systems (DBMS)
  • Operating Systems
  • Computer Networks

πŸš€ Projects

πŸ“„ AI-Powered PDF Question Answering System

  • Developed a Retrieval-Augmented Generation (RAG) application that allows users to upload PDF documents and interact with them through natural language queries.
  • Implemented document chunking, vector embeddings, semantic search, and AI-generated responses.
  • Built using LangChain, FAISS, Google Gemini, and Streamlit.

Tech Stack

Python LangChain FAISS Google Gemini Streamlit


πŸ“° Propaganda Detection System

  • Built an AI-powered system capable of identifying propaganda techniques within textual content.
  • Applied Natural Language Processing (NLP) and Machine Learning techniques to classify manipulative and biased information.
  • Focused on improving content credibility assessment through automated text analysis.

Tech Stack

Python Machine Learning NLP


🎯 Object Detection and Tracking System

  • Developed a real-time computer vision application for object detection and tracking.
  • Implemented object localization and continuous tracking across video frames.
  • Designed for applications such as surveillance, monitoring, and intelligent vision systems.

Tech Stack

Python Computer Vision OpenCV YOLO


🌱 Currently Learning

  • Advanced Machine Learning
  • Generative AI Applications
  • Retrieval-Augmented Generation (RAG)
  • Large Language Models (LLMs)
  • Computer Vision
  • AI System Deployment

🎯 Career Aspirations

  • Become an AI Engineer specializing in Machine Learning and Generative AI.
  • Build intelligent systems that solve real-world challenges.
  • Gain expertise in Computer Vision, Large Language Models, and AI application development.
  • Contribute to innovative AI products and emerging technologies.

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Member since June 02, 2026