Hello, I'm
Danial Azam
Senior ML Engineer & Platform Engineer
Driving GenAI to production. Building scalable ML platforms and infrastructure on GCP. Software and research background with a passion for football analytics.
About Me
9+ years building production ML, data, and GenAI systems. Currently at wiqLabs (Woolworths × Quantium), where I co-built the engineering platform, took GenAI products from POC to production, and developed agentic evaluation frameworks for AI safety. I sit at the intersection of data science, platform engineering, and business — with a growing focus on engineering leadership and team delivery.
My journey started in software development before moving into Bayesian inference research at the University of Sydney, where I built open-source frameworks for geological modelling and earned a University Medal.
Outside of work, I'm a devoted Arsenal fan who builds football analytics tools for fun — from StatsBomb data visualisations to a live FPL draft tracker for my league. I believe the best engineers are the ones who genuinely care about the domains they work in.
Experience
Senior Machine Learning Engineer
wiqLabs (Woolworths × Quantium)
Co-architected engineering platform on GCP (80% infra reduction). Led GenAI products from POC to production. Built ML pipelines on Vertex AI/Kubeflow.
Research Software Developer
University of Sydney
Built open-source Bayesian inference frameworks (BayesLands, BayesReef). Published in Computers & Geosciences. Awarded University Medal.
Data Scientist
Engage2
Extracted business insights from client data. Optimised information management workflows with SQL and NoSQL databases.
Software Developer
10Pearls
Built modules for trial presentation software — PDF import, video capture, and image processing.