CPO at hivo.co in Perth, WA. Special focus on cloud, data, AI, and engineering practices.
As CPO at hivo.co, I drive our product strategy while staying hands-on with cloud infrastructure, AI systems, and engineering practices. Making sure our systems scale without falling over is still my favorite part, but building production AI that actually works is a close second. Previously built data platforms at Insurance Commission of WA. B.Sc Computer Science from NUS.
Day-to-day:
- Production AI/ML systems and LLM deployments
- AWS infrastructure (the kind that actually stays up)
- Kubernetes orchestration and container platforms
- Real-time data analytics and streaming architectures
- awesome-ai-gadgets - AI-powered hardware and gadgets (just created today!)
- awesome-vibe-coding - AI coding assistants like Cursor, Copilot, Windsurf
- awesome-n8n - 380+ workflow automation resources
- awesome-biostatistics - Clinical trials and medical research tools
- awesome-devops-tools - Modern DevOps toolchain (just updated with Q4 2025 tools)
- awesome-prompt-engineering - LLM prompting techniques
These lists started because I couldn't find good resources when I needed them. Now they help thousands of developers.
More Lists: biostatistics | devops-tools | prompt-engineering | ai-agents
- n8n-mcp-demo - Cross-platform workflow automation
- daily-learning - Tracking my 30-day contribution streak
- Welder Art Challenges - Android puzzle game I made
Cloud: AWS (4x certified), Kubernetes, Docker, Terraform, Azure
Languages: Python, TypeScript, Go, Rust (learning), Shell
Data: PostgreSQL, Redis, various data pipelines
ML/AI: PyTorch, LangChain, working with LLMs in production
- Working on a 30-day contribution streak (currently day 23)
- Just updated awesome-devops-tools with Q4 2025 tools
- Created awesome-ai-gadgets today
- Maintaining 20+ curated lists for the community
Deep diving into AI agents and RAG architectures, while exploring Rust for systems programming. Also getting into clinical data standards (FHIR, OMOP) for healthcare AI applications. Always interested in production ML challenges and making Kubernetes less painful.
Best way to reach me is through GitHub or LinkedIn. Happy to chat about AI systems, cloud infrastructure, production ML challenges, or that one weird LLM hallucination that only happens in prod.