Hello, I'm Rolzie
CS @ Imperial College London. I build reliable, scalable software systems and enjoy solving complex problems at the intersection of technology and real-world applications. Experience across backend systems, data-driven applications, and FinTech projects.
About Me
I am a computer science student at Imperial College London, specialising in software engineering and system design. I enjoy building scalable and reliable systems, and I also enjoy solving complex problems in real-world applications. My interests include backend development, real-time systems and performance-critical applications. I have worked on both industry and academic projects.
Trading Systems
Order management, automated trading, and market data processing
Quantitative Analysis
Statistical modeling, factor analysis, and backtesting frameworks
Options Trading
Greeks analysis, volatility strategies, and risk management
Software Development
Java, Python, Spring Boot, React, and API development
Professional Experience
- Migrated Prime Video's Person Page (~50K daily global views) from a legacy widget-server architecture to a direct app-server SSR path, removing an intermediate service call from the critical rendering flow
- Proposed and shipped an on-demand localisation feature for previously untranslated content, registering a new service operation, adding cache-backed frontend-backend requests and iteratively testing the flow across 33 non-English locales
- Modernised the Person Page in TypeScript/React using reusable design-system components, applying AI-assisted workflows to explore unfamiliar frontend patterns and iterate faster on responsive Filmography UI
- Improved frontend test reliability by migrating redesigned modules to Playwright, refactoring selectors and validating regressions across legacy and new rendering paths
- Developed testing utilities with Java and Spring Boot, including a mock API to simulate request–response workflows and a module to generate secure HTTPS headers by retrieving real-time tokens from the database and injecting them into outbound API calls
- Implemented automated unit and integration tests (JUnit, Postman) for Spring Boot services and basic load tests to ensure stable performance under higher request volumes, reducing manual workload by 90% and improving reliability
- Supported system integration and issue investigation by working with developers and testers to diagnose API and configuration issues across environments
- Participated in Optiver's options trading academy; applied market microstructure, arbitrage strategies, and Greeks analysis in simulated trading environments
- Designed a delta-neutral portfolio combining cross-exchange arbitrage (30% allocation) and volatility trading strategies, actively managing gamma and vega exposure
- Awarded Best Trading Strategy among 30+ peers for superior risk-adjusted returns through systematic approach to options pricing and execution
- Analysed financial markets and asset classes, using Python to process and validate datasets in support of trading and investment decisions
- Worked closely with senior traders on futures and portfolio strategies, translating trading ideas into data-driven analyses and actionable insights
- Explored factor-based models and backtesting workflows, focusing on data quality, statistical assumptions, and result interpretation for systematic trading strategies