ML Researcher · Explainable AI · Deep Learning
MSc Computer Science, University of Liverpool
I am an ML researcher specialising in explainable and trustworthy AI, having completed my MSc in Computer Science at the University of Liverpool. My research sits at the intersection of deep learning and model interpretability, with a focus on building reliable, transparent machine learning systems. I am actively seeking PhD opportunities to continue this work.
Open to research collaborations and discussions on explainability, uncertainty quantification, and robust model evaluation.
- Explainable AI (XAI) and model interpretability
- Trustworthy and robust deep learning
- Uncertainty estimation in neural networks
- Robust model evaluation and generalisation
| Category | Tools |
|---|---|
| Machine Learning & AI | PyTorch, TensorFlow, Scikit-learn, MONAI, OpenCV, NumPy, Pandas |
| NLP & LLMs | LangChain, Transformers (Hugging Face), RAG, Prompt Engineering, Fine-tuning, Vector Databases (FAISS, Pinecone) |
| Languages | Python, C++, JavaScript, HTML5, CSS3 |
| Web & Databases | React, Node.js, Express, Spring Boot, MongoDB, MySQL |
| Tools & Platforms | Git, Docker, Power BI, Postman |