Xavier Holt, Deep Learning Developer in Sydney, New South Wales, Australia
Xavier Holt

Deep Learning Developer in Sydney, New South Wales, Australia

Member since March 22, 2022
Xavier is a lead AI engineer with extensive experience building and shipping deep-learning and traditional machine learning products. He has real-world experience developing and managing the entire ML stack, from data engineering to training, experimentation, and deployment of machine learning models. Xavier is a product and results-oriented professional with substantial individual expertise and management experience.
Xavier is now available for hire


  • harrison.ai
    Amazon Web Services (AWS), Computer Vision, Deep Learning, Docker...
  • Sypht
    Amazon Web Services (AWS), Natural Language Processing (NLP)...
  • BCG Digital Ventures
    Python, Data Science, Machine Learning, Engineering...



Sydney, New South Wales, Australia



Preferred Environment

Linux, PyTorch, Python, Amazon Web Services (AWS)

The most amazing...

...thing I've developed is the only fully comprehensive chest X-ray decision-support tool on the market, currently in production use in hospitals worldwide.


  • Lead Applied AI Scientist

    2019 - PRESENT
    • Led machine learning for annalise.ai chest x-ray detection and localization model for assistive diagnostics, currently deployed in hospitals internationally.
    • Coordinated hiring and development of a process. Led projects from ideation to successful product delivery.
    • Made core contributions along entire machine learning stack from data labeling, pre-processing, migration, anonymization, training, experimentation, and deployment.
    • Published clinical and ML research in top-tier medical journals such as Lancet Digital Health.
    Technologies: Amazon Web Services (AWS), Computer Vision, Deep Learning, Docker, Machine Learning, Natural Language Processing (NLP), DICOM, Image Recognition
  • Senior Data Scientist

    2017 - 2019
    • Founded a team for a commercialized and productions machine learning API platform, initially as the sole machine learning expert on the team.
    • Oversaw both machine learning stack—CV and NLP deep learning models, and traditional ML—and end-to-end productionization, including automated testing, API endpoint management, and efficiency.
    • Helped grow and scale the team from 5-15 members and the product from zero to over two million paid requests per month; helped secure funding of several million dollars.
    Technologies: Amazon Web Services (AWS), Natural Language Processing (NLP), Machine Learning, Redis, Dask, Kubernetes, OCR, Pytesseract, Image Recognition
  • Data Scientist

    2017 - 2018
    BCG Digital Ventures
    • Developed and scaled machine learning startups for large commercial partners.
    • Collaborated with the leadership team to coordinate hiring and growth of the machine learning team.
    • Received the highest band in the annual performance review as one of only 5% of employees globally.
    Technologies: Python, Data Science, Machine Learning, Engineering, Natural Language Processing (NLP), AWS, R, SQL


  • Annalise Enterprise CXR

    Annalise Enterprise CXR is a multi-view comprehensive chest X-ray decision-support tool.
    I helped develop our initial machine learning (ML) models and led our latest release's continued iteration and deployment. I iterated upon our ML strategy, ran and documented extensive experimentation using state-of-the-art and novel techniques, liaised with product and clinical leads, and deployed and tested our healthcare AI in production.

  • Sypht Document Extraction

    An NLP-powered document information extraction solution with ≤5 seconds extraction time provided via REST API. I single-handedly developed the initial machine learning solution and then continued to contribute to it as the team grew.


  • Languages

    Python, SQL, R
  • Libraries/APIs

    PyTorch, TensorFlow, Dask, SpaCy
  • Paradigms

    Data Science, Scrum, Agile
  • Platforms

    Amazon Web Services (AWS), Docker, Kubernetes, Linux
  • Other

    Deep Learning, Machine Learning, Computer Vision, Natural Language Processing (NLP), OCR, Pytesseract, Image Recognition, AWS, DICOM, Statistics, Engineering, APIs
  • Storage



  • Master of Research with Distinction in Computer Science
    2017 - 2018
    Macquarie University - Sydney, NSW, Australia
  • Bachelor of Science (First Class Honors) Degree in Mathematics and Computer Science
    2013 - 2016
    University of Sydney - Sydney, NSW, Australia


  • Certified Scrum Master
    Scrum Alliance

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