⚡ Dissertation: Agentic AI for Autonomous Financial Analysis, Design, Implementation, and Evaluation of a Fully Functional LLM-Powered Equity Research System.

⚡ Relevant coursework: Advanced Deep Learning, Statistical Learning Theory, Convex Optimization, Information Theory.

⚡ Benchmarking hallucination rates, hierarchical reasoning quality, and factual accuracy of LLM-generated equity research against analyst-produced ground truth.

⚡ Final Year Project: Intelligent Reconfigurable Surfaces for UAV Communications, funded by NESCOM.

⚡ Sole undergraduate recipient of NESCOM Research Funding in the department.

⚡ Specialised coursework in AI, machine learning, signal processing, and wireless communications.