Hi, I'm Javier Huang 👋

Team lead of team 33. Led the team to win 1st place with a $15,000 prize among 430 competitors across 90+ teams in the IMI Big Data & AI competition hosted by the Institute for Management & Innovation (IMI) UTM BIGDataAIHUB in partnership with Scotiabank. Built a robust and interpretable machine learning based Anti-Money Laundering (AML) detection system. Analyzed largely unlabelled financial datasets, built several machine learning models to detect bad actors, and built a knowledge library with LLM enhanced explanations to interpret money laundering cases. Developed a web application to integrate the components together in a way that is user-friendly and effective for AML investigators to use in real-world scenarios.

Designed and developed Buzby, a full-stack SvelteKit web application with Firebase authentication and Firestore integration to streamline group project collaboration. Defined features and database schemas based on survey data, building user-friendly frontend components like project invitations, live chat, task lists, Gantt charts, and calendars. Continuously refined the app through beta testing and real-world user feedback from the International Baccalaureate Collaborative Sciences Project.

IFT-X is a 3D web game for rocket enthusiasts that simulates SpaceX’s Starship customization and testing process. Developed interactive 3D features using SvelteKit and Three.js, hosted on Cloudflare Pages. Designed and implemented a seamless UI, created a custom physics engine simulating realistic rocket flight dynamics, and integrated the Nebula particle system for advanced 3D effects.