About

A decade of shipping AI that works.

Alexander Kwok is a Head of Data Science & ML Engineering based in Sydney, Australia. Over the past decade, he has built and led teams that ship production AI/ML systems — from petabyte-scale data platforms at AWS to personalised recommendation engines serving millions of customers at Woolworths, to building an entire data organisation from scratch at Linkby.

Alexander Kwok
Where I have built
Amazon Web Services
L6 Data Science Manager
WooliesX
Lead Data Scientist
Linkby
Head of DS & ML Engineering
Consulting
AI & ML Advisory
Career Journey

Built across scale.

From enterprise ML at AWS to startup velocity at Linkby — each chapter shaped a different dimension of how to ship AI that works in production.

2025 — Present
Linkby
Head of Data Science & ML Engineering

Joined with a blank slate and a mandate to build Linkby's entire data capability from zero. Hired an ML Engineer and a Data Scientist — a deliberate one-pizza team. In nine months, shipped a Databricks platform, migrated analytics to ClickHouse, built AI-agent-driven Dagster pipelines, and deployed a personalised click pricing model live in production.

3Person team
10xVelocity vs conventional
9 moZero to production
30%CTR uplift
DatabricksClickHouseDagsterLightGBMAI Agents
2022 — 2025
Amazon Web Services
L6 Data Science Manager — Network Availability

Led a team of 10 building data-centric network availability strategies at petabyte scale. Implemented LLM Ops automation that eliminated over 100 manual engineering processes, driving a 10x productivity gain across the organisation. Contributed to a patent for a novel ML algorithm for complex network applications.

10+Engineers managed
10 PB+Daily data processed
100+Processes automated
1Patent contribution
LLM OpsSageMakerEMRSpark10 PB+ daily
2018 — 2022
WooliesX (Woolworths Group)
Lead Data Scientist — Personalisation

Led a team of 21 delivering personalised recommendation engines across Web, App, and Email for millions of Woolworths customers. Built graph neural network and ALS-based recommendation systems with real-time feature engineering at national retail scale. This was the chapter that taught the difference between a model that works in a notebook and a model that works at 3am on a Saturday when nobody is watching.

21Team members
M+Customers served
3Channels — Web, App, Email
GNNALSReal-time servingGCPKubernetesBigQuery
2024 — Present
AI & ML Consulting
Independent Technical Advisor

Parallel to full-time roles, Alexander advises startups and enterprises on production AI strategy. Recent engagements include a LangChain sales automation platform with network analysis and Slack RAG, and a clinical transcription system for Indonesian hospitals using fine-tuned Whisper for Bahasa Indonesia medical audio.

LangChainRAGWhisper fine-tuningClinical AINetwork Analysis
By the numbers

Career at a glance.

10+
Years in production ML
Enterprise to startup, always shipping
21
Largest team led
Data scientists & engineers at WooliesX
10 PB+
Daily data processed
Network availability systems at AWS
10x
Productivity multiplier
LLM Ops automation at AWS
30%
CTR uplift
Personalised pricing model at Linkby
1
Patent
Novel ML algorithm for network applications
M+
Customers served
Woolworths recommendation engines
9 mo
Zero to production
Full data platform built at Linkby
Tech Stack

Tools of the trade.

The technologies Alexander reaches for when building production AI/ML systems. Opinions included.

ML & AI
🧠
Python
Primary language, always
🔥
PyTorch / TensorFlow
Model training & experimentation
🌲
LightGBM / XGBoost
When gradient boosting is the right call
🤖
LangChain / Claude / OpenAI
LLM orchestration & agents
🎙️
Whisper
Speech-to-text, fine-tuned
Data & Infrastructure
🧱
Databricks
Lakehouse platform of choice
ClickHouse
Certified — real-time analytics
🔧
Dagster
Orchestration with AI agents
☁️
AWS / GCP
SageMaker, EMR, BigQuery, K8s
🚀
Spark
Petabyte-scale processing
MLOps & Deployment
📦
Docker / Kubernetes
Containerised model serving
🔄
CI/CD Pipelines
GitHub Actions, automated testing
📊
MLflow / Weights & Biases
Experiment tracking & model registry
🛡️
Model Monitoring
Drift detection, alerting, observability
🏗️
Terraform / IaC
Infrastructure as code

Let's build something
that ships.

Whether you are hiring for a technical leadership role, need an AI/ML advisor, or just want to talk about production systems — I am always open to a conversation.