AI Portfolio Analytics
A working web app for comparing portfolios, exploring risk, and making sense of the results with AI. Built from the interface down to the analysis pipeline.
React / Python / Flask / PostgreSQL
Projects & engineering work
From building an application to keeping a production system healthy. Here's what I've been working on.
Selected engineering work
Polymarket trading systems
Python and Rust bots built around live order books, market events, and automated execution. The interesting part is what happens between a signal and a fill.
Python / Rust / WebSockets / REST APIs
Inside the project Keeping maritime systems running
Deploying vessel traffic systems, connecting sensor feeds, and following production issues through investigation, testing, and staged rollout.
Linux / AWS / Kubernetes / Grafana
How I work Trading research
Write-ups on strategy research, execution, and what the data actually says.
Rebuilding a Midnight FX Scalping Bot from Old Trade Logs
Reconstructing an FX trading strategy from historical trades, with a closer look at execution and risk controls.
Building a Regime-Aware DCA Strategy
Researching a dollar-cost averaging approach that adjusts to market conditions, with a focus on small and mid-cap stocks.
Earlier data science projects
Coursework and university projects from my Data Science degree at CityU. Kept here as a record of the methods and questions I worked through.
Mapping Global Artist Collaborations on Spotify
A network analysis of artist collaborations and the patterns connecting music across countries.
Classifying Steel Plate Faults with Machine Learning
Comparing machine learning methods for identifying faults in steel plates from measured features.
Predicting Used Car Prices with Regression Models
Comparing regression approaches for predicting car prices in the US market.
Stock Price Forecasting with Time Series Models
An exploration of time series methods for stock price trends and their forecasting limitations.
PageRank on an Evolving Network
A reproduction study examining how PageRank behaves as a network changes.
Detecting Credit Card Fraud with Machine Learning
An exploration of machine learning approaches to finding fraudulent transactions.