MSc student in Computer Science (Artificial Intelligence) at the University of Nottingham.
- LLM applications
- Multimodal model evaluation
- Dialogue systems
- Prompt design and experiment analysis
- Python-based AI prototyping
- Medical MLLM Evaluation and Model Selection
Built a structured evaluation workflow for open-source multimodal LLMs in medical scenarios, comparing model quality and deployment-related costs. - Flight Booking Dialogue System
Designed a task-oriented multi-turn dialogue system with intent recognition, state tracking, and error recovery. - Multi-Agent Cleaning System
Implemented and compared Random, A*, Q-learning, and shared Q-learning agents in a grid-world environment. - Diabetes Multi-class Prediction
Built and evaluated multi-class ML pipelines for health prediction with imbalanced data handling and result interpretation.
Python, PyTorch, Scikit-learn, Transformers, Git, Tableau
LLM Application Engineer / Applied AI roles focused on model evaluation, dialogue systems, and real-world AI applications.