I am a BS Artificial Intelligence graduate from The Islamia University of Bahawalpur (2022–2026), focused on practical AI engineering across machine learning, deep learning, natural language processing, computer vision, and generative AI.
I enjoy building end-to-end projects—from data preparation and model evaluation to API development and application integration. My project work includes bilingual scam-message detection, mango-leaf disease classification, computer-vision fitness coaching, conversational AI, and MARS-NLP, a research project on multilingual scam-message classification.
- Programming: Python, SQL
- ML/DL: scikit-learn, TensorFlow, Keras, PyTorch, model evaluation and classification
- NLP & GenAI: text classification, LLM application development, prompt engineering, Gemini API, Groq API
- Computer Vision: OpenCV, MediaPipe, YOLOv8/YOLOv11, MobileNetV2
- Backend & Tools: FastAPI, Flask, REST APIs, WebSockets, SQLite, Docker, Git, GitHub
Research project on multilingual scam-message classification, including model comparisons, experiment documentation, error analysis, and manuscript materials. The repository contains project and release materials; this work is not described as journal-published or peer-reviewed.
Repository: rizz01107/MARS-NLP
English and Roman Urdu message classification using TF-IDF and Random Forest, with a Flask application and SQLite-backed history.
Repository: rizz01107/GuardAI
Final-year project for mango-leaf disease classification using MobileNetV2 transfer learning. The project reports 92.1% accuracy across nine disease/health categories.
Repository: Mango Leaf Disease Detection
FastAPI-based conversational assistant project with chat-history and mood/emotion-related features.
Repository: rizz01107/rizwan-ai-companion
Computer-vision fitness project using pose estimation, repetition counting, and feedback workflows.
Repository: rizz01107/RepSense-AI
AI-assisted educational project for learning content discovery and roadmap features.
Repository: rizz01107/EducationXAI
- FlyRank AI: Completed machine-learning internship assignments and capstone work in 2026.
- Samsung Innovation Campus: AI/ML training and applied project work in 2026, including the GuardAI capstone.
- Google Developer Program — AI Seekho: Silver Tier.
- Additional learning: Google AI Essentials, Google Cloud Skills Boost — Introduction to Generative AI, Google Crash Course on Python, and Kaggle Learn — Python.
BS Artificial Intelligence — The Islamia University of Bahawalpur, 2022–2026.
- Email: rizwan01107@gmail.com
- LinkedIn: linkedin.com/in/rizz01107
- Portfolio: rizz01107.github.io
- GitHub: github.com/rizz01107
