I'm Eddie Chan — an AI Engineering Manager based in 🇭🇰 Hong Kong, living on coffee and commits.
- 🧠 Managing an AI Engineering Team — shipping production ML/AI systems at scale
- 🏗️ Designing cloud-native infra on AWS with Terraform, Kubernetes & Helm
- 📊 Building data pipelines across Snowflake, Databricks & BigQuery
- 🤖 Driving LLM adoption and AI-assisted development org-wide
- 🎓 HKUST MBA (Class of 2022)
- ☁️ AWS Solutions Architect – Associate · AWS Community Builder
- 📖 Curating AI-generated learning curricula to democratise tech education
- ⏱️ GitHub member since 2016
| Period | Role |
|---|---|
 |
AI Engineering Team Manager |
 |
Senior AI Engineer |
 |
Data Scientist — Early-stage Startup |
As AI Engineering Team Manager 2025 – Present
- 🚀 Defining and executing the AI engineering roadmap end-to-end
- 🏗️ Infrastructure-as-Code with Terraform + AWS (EC2, Lambda, ECS, S3, RDS)
- ☸️ Container orchestration via Kubernetes & Helm chart management
- 📊 Enterprise data engineering across Snowflake, Databricks, BigQuery, Redshift
- 👥 Mentoring engineers, conducting code reviews, hiring and growing the team
- 🔄 Building automation pipelines with n8n for business process optimisation
As Senior AI Engineer 2021 – 2025
- 🤖 Designed and deployed production ML models using TensorFlow and PyTorch
- 🐍 Built end-to-end ML pipelines in Python — from data preprocessing to model serving
- ☁️ Leveraged AWS services (SageMaker, Lambda, EC2, S3) for scalable model deployment
- 🔬 Applied deep learning, NLP, and computer vision techniques to real-world problems
- 📦 Containerised and shipped ML services with Docker and Kubernetes
- ⚡ Optimised model inference performance for production latency requirements
As Data Scientist 2019 – 2021
- 📈 Built predictive models and data-driven product features at a startup
- 🔍 End-to-end ownership: data wrangling, modelling, evaluation, and deployment
- 🐍 Core stack: Python, SQL, scikit-learn
| 🏫 Education | ☁️ Certifications |
|---|---|
|
Master of Business Administration (MBA) Hong Kong University of Science & Technology (HKUST) Class of 2022 |
🏅 AWS Solutions Architect – Associate Amazon Web Services · Cloud Architecture 🏗️ AWS Community Builder Amazon Web Services · Cloud Infrastructure track |
Languages
Cloud & DevOps
ML & AI
Data Engineering
🔥 Hot projects I'm actively hacking on right now
| Project | Description | Stack |
|---|---|---|
| 🔥 terraform-viz | Interactive Terraform plan visualiser — graph explorer, cost estimator & AI insights | TypeScript · Next.js · Vitest |
| 🔥 Hermes-Agent-Cloud | One command. Three clouds. Deploy your AI assistant to AWS/Azure/GCP | Bash · Terraform · Multi-cloud |
| 🔥 AgentFoundry | Agent scaffolding framework for rapidly building & deploying AI agents | Python · LLM · Agent Orchestration |
| 🔥 rekipedia | Agentic repo-to-wiki CLI — scan any codebase into a searchable knowledge base with AI | Go · Python · SQLite · FastAPI |
☕ Coffee & Code made my day · Built with passion by Caffeine Coder · Hong Kong 🇭🇰