Andrew Liubinas
Head Of Technology, Australia at Tomoro
Melbourne, Victoria, Australia
Summary
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Rockstar🎓
Top SchoolAndrew Liubinas is Head of Technology, Australia at Tomoro, leading engineering teams to productionise and scale LLM orchestration, RAG, connectors and governance with typical delivery cycles under 12 weeks. He blends seven years of hands-on machine learning engineering with eight years of prior global banking experience, bringing uncommon fluency across probabilistic modelling, MLOps and financial risk. An AWS Certified ML Engineer and MSc AI graduate in the top 1% (high-distinction average), he codes in Python and has applied TensorFlow, PyTorch and custom GPR kernels to real-world optimisation and forecasting problems. His background as a CFA charterholder and former NAB deal lead gives him practical domain expertise in structuring high-stakes projects and communicating complex models to senior stakeholders. At Secondmind he accelerated GPFlow performance 10x and led production-ready probabilistic models for EV calibration and sea-freight planning, demonstrating both research rigour and engineering pragmatism. Based in Melbourne, he is focused on building reusable foundations that let teams safely scale multi-use-case AI across enterprise environments.
7 years of coding experience
11 years of employment as a software developer
EXCHANGE PROGRAM: Bachelor of Commerce and Bachelor of Science, Exchange Program, EXCHANGE PROGRAM: Bachelor of Commerce and Bachelor of Science, Exchange Program at The University of ManchesterMSc Artificial Intelligence, Artificial Intelligence, MSc Artificial Intelligence, Artificial Intelligence at University of St AndrewsThe University of MelbourneCFA Charterholder, Finance, General, CFA Charterholder, Finance, General at CFA InstituteEXCHANGE PROGRAM: Bachelor of Commerce and Bachelor of Science, EXCHANGE PROGRAM: Bachelor of Commerce and Bachelor of Science at University of Illinois Urbana-Champaign
Github Skills (17)
bayesian-statistics10
variational-inference10
manifold10
gaussian-processes10
information-theory10
stochastic-processes10
gpflow10
gaussian10
machine-learning9
tensorflow9
deep-learning9
bayesian8
meta-learning8
toolbox8
ml7
Programming languages (1)
Github contributions (5)
Andrew878/toy-aws-ml-pipeline
Dec 2023 - Jan 2024
A toy example to deploy an model training and inference pipeline
Contributions:14 PRs, 18 pushes, 8 branches in 21 days
Andrew878/raspi5-cat-detect
May 2024 - Jan 2025
Contributions:7 pushes, 2 branches in 8 months
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