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Career runtime · 7 roles

Industry × Role × Quantified outcomes. Most-recent first.

  1. Montu

    Staff Machine Learning Engineer · Privacy-by-Design Architect

    Healthcare 2023 – Present
    67%

    reduction in feature lead times across the GCP ML platform

    Montu — GCP ML Platform

    methodology

    DORA metrics, pre/post Kubeflow + GitOps migration

    97%+

    reduction in change-failure rate after platform consolidation

    Montu — DORA Outcomes

    methodology

    Incident DB diff, 6-month rolling

    93%

    clinical NLP accuracy (outperforming Google Healthcare NLP by 14 pts)

    Montu — Clinical Document Intelligence

    methodology

    Held-out clinician-labelled validation set

    0.87+

    F1 PII redaction score on clinical log sanitisation

    Montu — Privacy-by-Design Logging

    methodology

    Held-out clinician-annotated PII corpus, micro-F1

    Tech

    • GCP (GKE, VertexAI, Pub/Sub)
    • Kubeflow + TFx + DVC pipelines
    • PyTorch · vLLM · FlashAttention
    • GraphRAG + LangGraph + DSPy
    • Postgres · Snowflake · Redis · Kafka

    Leadership

    • Hired & mentored Data Scientists and ML Engineers across multiple pods
    • Authored RFCs for clinical NLP architecture and Privacy-by-Design logging
    • Cross-functional Build vs Buy negotiation with Product/Compliance/Legal
    last verified
  2. Amber Electric

    Senior Machine Learning Engineer · FinOps Strategist

    Energy 2021 – 2023
    40%

    average infrastructure cost optimisation across 10k+ energy sites

    Amber — Energy Forecasting Platform

    methodology

    GCP billing diff, 6-month rolling, post-FinOps refactor

    Tech

    • GCP (GKE, Pub/Sub, BigQuery, Dataflow)
    • Time-series forecasting (ARIMA · Prophet · DeepAR)
    • Event-driven architecture · Kafka
    • Terraform · Helm · Datadog

    Leadership

    • Led event-driven architecture transition for grid-stability forecasting
    • Authored FinOps strategy reducing cloud spend across 10k+ energy sites
    last verified
  3. Linktree

    Machine Learning Engineer — Recommender Systems

    Consumer Tech 2020 – 2021
    33%

    link adoption gains via the personalised link-recommender

    Linktree — Two-Tower Recommender

    methodology

    A/B test, 30-day window, user-cohort holdout

    18-23%

    profile subscription uplift across recommender experiments

    Linktree — Profile Subscriptions

    methodology

    A/B uplift, 90-day cohort

    Tech

    • Two-Tower Architecture · Collaborative Filtering
    • Python · TensorFlow Recommenders
    • AWS (SageMaker, Lambda, DynamoDB)
    • Airflow · Feast feature store

    Leadership

    • End-to-end recommender ownership from offline metrics to online A/B
    • Cross-functional product negotiation on metric framing and guardrails
    last verified
  4. ANZ Bank

    ML Engineer — Enterprise ID Fraud Detection Platform

    Finance 2019 – 2020
    Production

    enterprise identity fraud detection on Kubeflow / GKE

    ANZ — Enterprise ML Platform

    methodology

    Production deploy across multiple business units

    Tech

    • Kubeflow Pipelines · GKE · Tekton
    • XGBoost / LightGBM ensembles
    • Compliance-grade RBAC + audit pipelines

    Leadership

    • Enterprise ML platform architecture across regulated business units
    last verified
  5. nib Group

    ML Engineer — Health Insurance Platform

    Healthcare 2018 – 2019
    Platform

    SageMaker platform extensions powering claims ML workloads

    nib — ML Infrastructure

    Tech

    • AWS SageMaker · Lambda · S3
    • Clinical claims data engineering
    • Schema validation · drift monitoring
    last verified
  6. HammondCare

    ML Engineer — Customer Triaging

    Healthcare 2017 – 2018
    Live

    customer-request triaging chatbot in clinical operations

    HammondCare — Triaging Chatbot

    Tech

    • NLU pipelines
    • Customer-request classification
    • Production chatbot integration
    last verified
  7. Eliiza

    ML Engineer · ML Guild Mentor

    Consulting 2016 – 2017
    2nd

    place at Cricket Australia DataJam 2020 (cross-functional team lead)

    Eliiza — Cricket Australia DataJam

    Framework

    "Thea" document mining framework adopted across consulting engagements

    Eliiza — Thea Document Mining

    Tech

    • Document mining (Thea framework)
    • NLP pipelines for unstructured legal/clinical text
    • Cross-functional consulting delivery

    Leadership

    • ML Guild mentoring across the consulting practice
    last verified

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