Multi-Sensor Multi-Target IoT Asset Tracking
R&D In Progress
Experimental Multi-Sensor IoT asset tracking system leveraging machine learning for monitoring and actionable data insights
Engineering holistic architecture for AI and resilient Web3.0 systems.
Auckland, NZ
Networks & Cybersecurity
Data Science & Artificial Intelligence
I’m a Computer Science graduate working across artificial intelligence, security, and decentralized systems. My work so far includes applied machine learning, computer vision research, and experimentation with on-chain infrastructure and distributed applications.
Skills
Applied AI
ML Engineering
IoT Architecture
Web3 Development
Programming
Technical Note:
This site is hosted on the Internet Computer (IC), served directly from
decentralized canisters rather than a traditional centralized server.
Current Focus
Areas of interest
ML Development & Applied AI
Training and evaluating models, experimenting with architectures,
and understanding real-world deployment and failure cases. Leveraging agentic AI for informed action.
Internet of Things Architecture
Secure Multi-sensor detection and tracking systems for asset monitoring.
Distributed & Web3 Systems
Exploring decentralized hosting and on-chain applications using
the Internet Computer as an alternative to traditional web infrastructure.
Selected Work & Projects
2026 — Present
On-Chain Chess Application
Publishing in Process
Experimental chess application exploring how application logic and hosting can run directly from smart contracts on decentralized infrastructure instead of traditional servers.
Web3.0 Website
Published
This website itself - an experiment in hosting static websites on entirely decentralized infrastructure while optimizing security, availability, and cost-effective scalability.