Experience & Education

Doctoral research in HCI and AI. Focus on brain-computer interfaces, eye tracking, speech recognition, NLP, and adaptive interface design.

Developed a real-time BCI system to monitor mental fatigue for improving patient engagement during rehabilitation therapy.

Oversaw product behaviour, automated test suites, and debugged issues using Selenium, Postman, and Python-based testing frameworks.

Designed and implemented deep learning models (GANs, Autoencoders, Transformers). Benchmarked against historical data and contributed to model selection pipelines.

Specialising in HCI and AI with a focus on adaptive, brain-driven interfaces.

Foundation in algorithms, data structures, software engineering, and machine learning. Core programming in Python, Java, and C/C++.