I'm an AI Engineering Manager based in Hong Kong, obsessed with building reliable, production-grade AI systems that actually ship. My days are split between architecture reviews, mentoring engineers, and writing code — usually fuelled by an unreasonable amount of coffee.
I believe great engineering is as much about clarity as cleverness. That philosophy shows up in everything I build: from serverless LLM gateways and Kubernetes-native tooling to AI-generated learning curricula designed to make complex topics accessible to everyone.
Outside of work I contribute to open source, hold an MBA from HKUST (Class of 2024), and carry an AWS Solutions Architect – Associate certification. GitHub member since 2016.
2025 – Present
2021 – 2025
2019 – 2021
Education
Master of Business Administration (MBA)
Hong Kong University of Science & Technology (HKUST)
Class of 2024
Certifications
AWS Solutions Architect – Associate
Amazon Web Services · Cloud Architecture
Cloud Infrastructure track
Languages
Cloud & DevOps
ML / AI
Data Engineering
A serverless, OpenAI-compatible LLM gateway on AWS. Multi-provider weighted routing, per-tenant rate limiting, and async request logging — no servers to manage.
Interactive, browser-based Helm chart renderer and Kubernetes resource graph — no Helm CLI or cluster access required.
Self-paced Python learning course with all content generated by AI. A unique approach to democratising programming education.
A 26-week self-paced course covering Snowflake, Databricks, BigQuery, and Amazon Redshift — from basics to production pipelines.
Terraform-powered fast setup for n8n automation on AWS EC2. Spin up workflow automation infrastructure in minutes.
Always happy to chat about AI engineering, cloud infrastructure, or open source. Drop me a message anytime.
