I'm a Computer Science student at King's College London with a passion for software engineering and quantitative finance. My work spans from building trading algorithms and market-making bots to developing full-stack AI applications for enterprise clients.
My recent experiences include internships at Virtu Financial (Quantitative Strategy), Infosys (Software Engineering), and Spring Weeks with Citadel, DRW, Millennium, Blackstone, HSBC, and Rothschild & Co.
I've achieved top placements in competitive programming and trading competitions, including top 1% globally in IMC Prosperity 3 and 12th in the UK for Google Code Jam.
With academic achievements of 11 Grade 9s at GCSE, 3 A*s at A-Level (Maths, Further Maths, Economics), and securing 8 Spring Week offers in a single recruitment cycle, I leverage this experience to create content for students.
On TikTok, Instagram, and LinkedIn, I share insights from my journey to help the next generation navigate their academic and career paths.
Developed a Target Close algorithm with an MIT intern to trade 3M shares daily within a 10% limit of closing auctions. Built Tableau dashboards to visualize historical trends and forecast auction volumes. Presented strategy to the Agency Execution desk and earned recognition for best execution.
- Python
- Pandas
- NumPy
- Tableau
Created a full-stack Human-Robot Interaction system with Next.js frontend and FastAPI backend for real-time robot control. Deployed RESTful APIs for robot commands, RAG queries, and database management. Integrated LangChain, Cohere, and Astra DB to power context-aware AI responses.
- Python
- FastAPI
- React
- Next.js
- TypeScript
- LangChain
- Astra DB
Developing a multi-agentic AI coach using Retrieval Augmented Generation for an ex-MBB partner, targeting C-Suite executives at Fortune 500 companies.
- Python
- PostgreSQL
- OpenAI
Building a full-stack analytics platform for live-events clients to track orders and registrations. Implementing automated QR-based check-ins and ticket dispatch workflows. Conducted organizational work for academic conferences in AI, Mathematics, and Neuroscience worldwide.
- Python
- FastAPI
- React
- Next.js
- TypeScript
Comprehensive Spring Week guide to help students navigate the recruitment process.
- Next.js
- React
- Tailwind CSS
Featured on the Global Leaderboard. Developed a market-making bot leveraging z-score trend-reversion, ETF arbitrage, and delta-neutral gamma scalping using Black-Scholes and implied volatility curve fitting. Leveraged game theory to maximise expected payoff dilution to maximise PnL.
- Python
- NumPy
- Pandas
- Matplotlib
Captured cross-market arbitrage opportunities. Ineligible for prizes after exploiting a bug where bots retreated after trades, allowing us to capture massive bid-ask spreads. (See team-023)
- Python
- NumPy
- Optbook
Algorithmic programming competition.
- Python
- Algorithms
- Data Structures
