Mathematics & Computer Science. Building high-performance systems and mathematical models for complex problems.
Currently in the Integrated Foundation Year at Royal Holloway, University of London. Pursuing a joint degree in Computer Science and Mathematics to bridge the gap between abstract logic and high-performance computing.
Focused on leveraging modern GPU architecture and parallel processing for AI training and large-scale mathematical modeling.
Leverage the power of RTX 5080 architecture to run private, secure AI models locally. Ideal for businesses needing internal data analysis without cloud privacy risks.
Proprietary analytics to identify high-margin vehicle specifications and undervalued stock. Helping dealerships discover hidden profit in existing inventory via deep-market data.
Custom mathematical models to solve resource allocation and scheduling problems using modern computational algorithms.
High-performance algorithmic engine monitoring luxury markets for price dislocations. Built for high-precision arbitrage.
Tech: Python, Asyncio, Vision AI
Technical DetailsResearching mathematical modeling for predictive logistics optimization and high-frequency trade execution.