🎓 Third-year Data Science & AI student at UDST
- Interested in Machine Learning, NLP & Computer Vision
- Passionate about building tech for social impact & accessibility
- Fanar – AI-powered navigation assistant for visually impaired users (YOLO + voice feedback)
- Sports RAG Chatbot – NLP-based system for sports analytics (QCRI internship)
- Solar Flare Prediction – ML model for space weather forecasting
- Lifelines Hackathon – Crisis management app for low-connectivity environments (Top 10)
Research Intern – QCRI (2025)
- Built a RAG-based sports analytics system
- Developed data pipelines for structured & unstructured data
- Applied ML techniques to improve retrieval performance
Wellness Assistant – UDST (2024–Present)
- Organized university-wide wellness initiatives
- Managed event logistics and student engagement
Languages: Python, JavaScript, Java
Web Dev: Node.js, Express.js, HTML, CSS, Handlebars
Data & AI: Machine Learning, NLP, Data Processing, RAG
Databases: MongoDB, SQL
Tools: Git, Azure, Canva, Adobe Suite
- Top 10 – Lifelines Hackathon 2025
- Volunteer – FIFA World Cup 2022, AFC Asian Cup 2023, Expo 2023
- Duke of Edinburgh Award (Bronze & Silver, Gold in progress)
- Former Team Leader – Social Impact Leaders
- Deep Learning for real-world applications
- Computer Vision (YOLO, assistive AI systems)
- NLP & RAG systems for intelligent retrieval
- Deploying scalable, real-time AI solutions
- Email: syedamaymoona8@gmail.com