About
🔬 Research Focus
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🧪 Compression Techniques for LLMs
Exploring pruning, quantization, and low-rank decomposition to optimize large multimodal models for medical applications. -
🧠 Instruction-Tuned Medical Multimodal Models
Fine-tuning vision-language models (e.g., LLaVA) on dermatological datasets to improve disease classification and consultation accuracy. -
🛡️ Trustworthy Machine Learning
Investigating black-box attacks, model interpretability, and human-aligned response generation in sensitive domains like healthcare.
🧑💻 Technical Snapshot
| Category | Tools & Technologies |
|---|---|
| Languages | Python, C++, MATLAB |
| Frameworks | PyTorch, TensorFlow, Hugging Face Transformers |
| Domains | Machine Learning, Computer Vision, Medical AI |
| Tools | Git, Jupyter, OpenCV, PyTorch Lightning |