I'm a BS Computer Science student at the University of Engineering and Technology, Lahore, focused on AI, Machine Learning, Deep Learning, and Software Engineering.
I work at the intersection of product - experimenting with NLP and computer vision models, evaluating trade-offs between approaches, and turning the results into cross-platform apps and full-stack systems.
| Project | Area | Stack |
|---|---|---|
| NLP Sentiment Model Comparison | NLP & Transformers | PyTorch, BERT, RNN, LSTM, GRU |
| Histopathology Image Classification | Computer Vision | PyTorch, CNN, Streamlit |
| Network Anomaly Detection | Unsupervised ML | Isolation Forest, LOF, Scikit-learn |
| Semiconductor Yield Prediction | Machine Learning | Python, Scikit-learn |
| Stock Market Trend Prediction | Time Series | Python, Deep Learning |
Financial News Sentiment Analysis — compared classical and deep learning approaches (TF-IDF + Logistic Regression, RNN, LSTM, GRU, fine-tuned BERT) for financial sentiment classification, evaluating trade-offs between accuracy, model size, training time, and inference latency.
Flutter & Cross-Platform
| Project | Stack |
|---|---|
| Flutter Chat AI | Flutter, Dart, Gemini API |
| MyFolio | Flutter, Dart, Responsive UI |
| Instagram Clone | Flutter, Firebase |
| Notes App | Flutter, SQLite |
| Quran App | Flutter, Dart |
| COVID-19 Tracker | Flutter, REST API |
Web & Full-Stack
| Project | Stack |
|---|---|
| Task Management System | React, .NET, REST API |
| ACM-W Celebration Website | Flutter Web |
| Tech Chapter Website | Flutter Web |
Languages
AI / Machine Learning
Deep Learning NLP Computer Vision Time-Series Analysis Anomaly Detection Model Evaluation Feature Engineering
Data Science
NumPy Pandas Scikit-learn Matplotlib Seaborn Jupyter Notebook
Application Development
Tools
Learning, experimenting, building, and turning ideas into working systems.