Justin Chan
Turning AI ideas into real products
My work sits at the intersection of engineering, research, and product thinking, with a focus on agentic ai, applied machine learning, and practical user value.
About
Interested in building AI products that challenges the boundaries of traditional business.
Firmly believe in embracing an interdisciplinary approach to creating fair and inclusive AI products.
Here's what I'm working on and thinking about 👋
Experience
Projects
Nora - OpenClaw Orchestration Layer
Open-source orchestration framework for AI agent development, combining marketplace-style tooling, async skill installation, and a structured multi-phase workflow for building and running agents.
Quic-Cal: AI Agent Scheduling Assistant
AI scheduling assistant designed to reduce the friction of calendar setup by letting users create meetings through natural language instead of repetitive form-based workflows.
LibMultiLabel Text Classification
Research on improving memory usage in extreme multi-label text classification models, with a focus on tree-based methods and thresholding strategies.
AI for Financial Literacy
Leveraging GenAI to create an application that improves financial literacy through search, summarization, and identification of financial terms.
Argus Case Study
Case study for a smart doorbell and camera security system focused on facial recognition, motion awareness, and mobile notifications.