Developed an arbitrage-free implied volatility surface calibrated with SABR and Heston across 1,000+ option quotes. Implemented AAD in a Monte Carlo Heston simulator to compute pathwise Greeks with sub-second latency and built interactive Plotly dashboards for analysis.

Engineered a price–time priority LOB in C++ supporting market/limit/cancel orders with O(log n) operations. Benchmarked >50k orders/sec and produced trade/depth logs for liquidity analysis.

Implemented Black–Scholes pricing and Monte Carlo simulations to validate option prices and compute Greeks across volatility regimes. Automated parameter sweeps and generated risk report surfaces.

Coursework project focused on maze generation and pathfinding algorithms. Implemented multiple algorithms (DFS, BFS, A*, Dijkstra) to compare efficiency and visualise paths. Built in Python with a strong emphasis on algorithm design, optimisation, and evaluation for A* grade criteria.

Independent research project exploring advanced concepts in mathematics, computer science, and their applications. Focused on critical analysis, academic writing, and structured project planning. Achieved significant insights into applying theoretical knowledge to practical contexts.

Full-stack React Native application that uses machine learning models to estimate a user’s carbon footprint based on lifestyle inputs. Integrated a Python backend for model training and REST API endpoints. Designed with modern UI for mobile usability and educational impact.

Personal portfolio website designed as an interactive showcase of projects, skills, and experiences. Built with Next.js, React, and TailwindCSS, featuring a clean and professional UI with AI-powered chatbot functionality for recruiters to ask questions directly.

Co-developed and deployed the official website for Panoraxis, an AI and automation agency. Built with Next.js and TailwindCSS, with a focus on sleek design, branding, and client conversion. Integrated demos, pricing, and service explanations tailored for SMEs.