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.

Project Manager of Agentiiv's MCP Gateway ML project, building a production-grade communication platform for AI agents and MCP servers, as part of a UTMIST industry collaboration. Defined project requirements, scope, and timelines, while tracking progress and managing the team using Agile Scrum and Jira. Leading system design and implementation, as well as addressing technical challenges.

Developing AuditMate, an AI-driven web and mobile platform that automates building energy audits for BuildingAssets, as part of a UTMIST industry collaboration. The application analyzes energy audits with object detection, OCR, and LLMs.

Performing data analysis and image preprocessing. Building and integrating machine learning and deep learning pipelines that support both professional auditors and individual clients, enabling self-serve and guided audit experiences.

Deploying the full cloud-based architecture using AWS EC2 and integrating AI services with Next.js and Flutter frontends to deliver scalable, accessible applications.