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Matthew Kabiotis

Matthew Kabiotis

Machine Learning Engineer

Talent
BrisbaneMember since August 18, 2026
PythonMachine LearningMLOpsDockerAWSBashGitExplainable AI (XAI)SHAPFeature SelectionLogistic RegressionTransformer ArchitecturesESM-1bAlphaMissenseGenomic Data AnalysisBioinformaticsGoogle ColabLinuxExcelLIMSData IntegrityGMP GuidelinesAnalytical Instruments (ICP-MS, OES, FIMS)
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PythonMachine LearningMLOpsDockerAWS

About

I am an ambitious Bioinformatics Master's graduate transitioning to the tech sector with a core focus on MLOps and scalable machine learning engineering. My research within Professor David Ascher's BioSig Lab centers on building Python-based pipelines to run discordant analyses on high-dimensional genomic data; specifically comparing state-of-the-art transformer architectures like Meta's ESM-1b and DeepMind's AlphaMissense for ABCA4 mutation classification. I design end-to-end workflows incorporating robust feature selection, strict data leakage mitigation, and comprehensive error analysis during model training and evaluation.

I leverage Explainable AI (XAI) tools like SHAP to decode model decisions, while actively expanding my production engineering toolkit in Docker containerisation, AWS cloud architecture, Bash automation, and advanced Git version control.

Experience

Manufacturing Operator at Vaxxas (2026-05 – Present)

  • Executed daily end-to-end production of biomedical devices and sub-assemblies following strict GMP guidelines and Standard Operating Procedures (SOPs).
  • Operated specialized bio-manufacturing equipment in controlled cleanroom environments (ISO 5–8), adhering to rigid contamination-control protocols.
  • Maintained highly precise batch records and technical logs using Good Documentation Practices (GDP) to guarantee data integrity.
  • Collaborated with Quality Control (QC) and engineering teams to identify, escalate, and troubleshoot production or equipment anomalies.

Respiratory & CPAP Scientist at Redlands Specialist Centre (2024-06 – 2025-11)

  • Analysed and interpreted complex biometric data streams from CPAP telemetry systems, optimizing therapeutic parameters based on longitudinal patient data.
  • Performed diagnostic Respiratory Function Tests (RFTs), analyzing physiological signals and data outputs to support clinical diagnostic pathways.
  • Managed the development and scaling of a growing CPAP service, expanding capacity to support hundreds of active patients.
  • Managed patient tracking data pipelines, coordinating complex schedules, clinical follow-ups, and ongoing therapeutic compliance logging.

Sleep Scientist & CPAP Educator at The Wesley Hospital (2024-01 – 2024-06)

  • Scored and classified multi-channel time-series physiological data (EEG, EOG, EMG, ECG) from diagnostic sleep studies to extract clinical features.
  • Monitored and configured complex diagnostic hardware networks during live overnight clinical sleep studies, troubleshooting data signal drops.
  • Analyzed longitudinal cloud telemetry data from CPAP devices, evaluating treatment compliance trends to optimize therapeutic parameters.
  • Delivered continuous patient support, interpreting diagnostic data trends to educate clients and improve long-term physiological outcomes.

Laboratory Technician at Australian Laboratory Services (ALS) (2022-06 – 2024-01)

  • Operated and verified advanced analytical instruments (ICP-MS, OES, FIMS) alongside standard laboratory equipment, maintaining precise technical logs.
  • Performed high-throughput preparation and quantitative analysis (digestion, titration, solvent extraction) of environmental samples under strict NATA standards and ALS Quality Work Instructions.
  • Monitored data integrity by identifying and escalating anomalies in analytical results and sample behaviours, ensuring high-quality data collection.
  • Utilised Excel and LIMS (Laboratory Information Management Systems) to log, verify, and track analytical standard data and quality control metrics.
  • Optimised workflow schedules to maximise daily analysis efficiencies, consistently meeting tight operational timeframes.
  • Trained and upskilled new associates on complex laboratory procedures, technical standards, and strict safety compliance protocols.

Education

Master of Bioinformatics in Bioinformatics – University of Queensland (UQ) (2025-02 – 2026-11)

Bachelor of Biomedical Science in Biomedical Science – Queensland University of Technology (QUT) (2020-02 – 2023-11)

Skills

Machine Learning Engineer

Reviews

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