I'm an MSc Artificial Intelligence student at Sheffield Hallam University with a deep passion for building impactful AI systems — especially in the areas of Generative Adversarial Networks (GANs), Computer Vision, and Brain-Computer Interfaces.
- 🧠 fMRI-to-Image Reconstruction using GANs
- 🤖 Drone Navigation using CV-based Object Detection
- 🎯 Real-time Digit Recognition using custom neural networks (MNIST)
- 📊 Obesity Level Prediction with Explainable AI (XGBoost, SHAP, LIME)
- Generative Models (GANs, VAEs, Diffusion)
- Computer Vision in Medical and Robotics Applications
- Brain Decoding / Neural Signal Interpretation
- AI for Social Good & Sustainability
- Languages: Python, SQL
- Libraries: PyTorch, TensorFlow, OpenCV, Scikit-learn, XGBoost, FastAPI
- Tools: Docker, Git, Streamlit, Jupyter, Colab
- Areas: Deep Learning, Computer Vision, NLP, Bayesian Methods
| Project | Description |
|---|---|
| fMRI Brain Decoder (in progress) | Reconstructing visual images from brain activity using GANs and CNNs |
| Drone Object Navigation (in progress) | Vision-based drone control for autonomous navigation |
| MNIST Realtime Detection | Webcam-based digit recognition with a neural net from scratch |
| Obesity Classifier | ML model with explainability tools (SHAP, LIME) on UCI Obesity dataset |
| GANs for CV | Implemented and compared VanillaGAN, DCGAN, Pix2Pix, CycleGAN from scratch |
⚡ Fun fact: I'm always up for a collaboration — especially if it's generative, visual, or brain-inspired 🧠