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 7, 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

Portfolio

  • 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...

Experience

Location

Sydney, New South Wales, Australia

Availability

Full-time

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.

Employment

  • Lead Applied AI Scientist

    2019 - PRESENT
    harrison.ai
    • 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
    Sypht
    • 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

Experience

  • Annalise Enterprise CXR
    https://annalise.ai/solutions/annalise-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
    https://go.sypht.com/ai-driven-ocr

    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.

Skills

  • 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

    Redis

Education

  • 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

Certifications

  • Certified Scrum Master
    OCTOBER 2021 - PRESENT
    Scrum Alliance

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