Phillip Mann-Segal

High-achieving 3rd year engineering with strong leadership, organisation, and analytical skills, excelling in systematic problem-solving for complex autonomous systems. Proficient in many programming languages and modules, and experienced in microcontrollers (Arduino, STM), CAD (SolidWorks). Strong foundation in mechanics and control systems, with a track record of academic excellence. Adept at data analysis, automation, and embedded systems development for intelligent transportation solutions. Passionate about advancing autonomous vehicle technologies through innovation and technical expertise.

Developed an advanced automated web scraper and betting analytics engine that extracts real-time odds from 7 major betting websites across 4 sports. The system applies statistical modelling to detect arbitrage opportunities and positive expected value (EV) bets. Betting data is stored in JSON format, analysed using complex mathematical algorithms, and alerts are sent via automated email notifications for actionable insights.

The 3,500 lines of condensed code are structured across multiple files for readability and maintainability, enabling seamless edits and updates. Additionally, tolerances can be adjusted directly from the terminal for dynamic customisation.