Computer science · Quantitative development
I’m Alan, a Computer Science undergraduate joining King’s College London in September 2026 after completing a year at Lancaster University. Most recently, I led quantitative development at the LU Ghosal Investment Fund. My work spans trading infrastructure, systems programming, machine learning, and product engineering.
Career
Experience building software used by research teams, developing quantitative systems, and working with industrial robotics.
LU Ghosal Investment Fund
Led nine quantitative developers building modular research and trading infrastructure across data, strategy, risk, portfolio accounting, and execution.
LU Ghosal Investment Fund
Built the core of an event-driven backtesting and trading system, including asynchronous signal pipelines, portfolio accounting, risk controls, and performance metrics.
Agile Robots SE
Developed a Python control program for a Yu 5 industrial robot in a three-person team, implementing interpolation-based algorithms for precise 3D motion.
Portfolio
Selected work across quantitative infrastructure, low-level systems, machine learning, and product development.
A modular, event-driven Python library for quantitative trading research, supporting strategy execution, backtesting, portfolio accounting, risk controls, and performance analytics.
Core infrastructure used by 19 researchers and developers. Developed as part of the Lancaster University Ghosal Investment Fund.
A real-time market data tool with an interactive ImGui interface, live Finnhub data, HTTP networking, and JSON parsing in C++.
A 32-bit protected-mode operating system built from scratch: bootloader, kernel, memory and interrupts, ATA PIO, FAT12, CLI, and an early window manager.
A neural network implemented and trained from first principles using NumPy, accompanied by a mathematical investigation of the forward pass, backpropagation, and optimisation.
A screen-time and focus app that turns distracting app unlocks into short, personalised learning reps. Local-first blocking meets adaptive practice.
Background
I’m continuing my undergraduate studies at King’s College London from September 2026 after completing a year of Computer Science with Economics at Lancaster University. My interests sit at the intersection of software systems, quantitative research, and applied mathematics.
Education
BSc Computer Science · Joining September 2026
Computer Science with Economics
International Baccalaureate · 43/45
Top 5% globally
Technical skills
Event-driven systems
Portfolio analytics
Systems programming
Machine learning
Achievements
Winner — Encode × Arc DeFi Hackathon; won $1,000 from a $10,000 prize pool
Top 100 in Germany — IMC Prosperity 4 trading challenge
Finalist — Hack Club Arcade 2024 Showcase
Distinction — CEMC Fermat Mathematics Contest
Contact
For professional enquiries, connect with me on LinkedIn or view my current work on GitHub.
GitHub
LinkedIn