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

Verified Expert  in Engineering

Deep Learning Developer

Sydney, New South Wales, Australia
Toptal Member Since
March 22, 2022

Xavier is a lead machine learning engineer with nine years of experience in software engineering and machine learning. He is currently managing an applied research team responsible for developing and successfully releasing state-of-the-art deep learning products into hospitals worldwide, with research specializations in natural language processing (NLP) and computer vision.


Amazon Web Services (AWS), Computer Vision, Deep Learning, Docker...
Amazon Web Services (AWS), Generative Pre-trained Transformers (GPT)...
BCG Digital Ventures
Python, Data Science, Machine Learning, Engineering...




Preferred Environment

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

The most amazing...

...thing I've released is Annalise CXR, a computer vision chest X-ray decision support product deployed internationally, processing millions of cases a year.

Work Experience

Lead Applied AI Scientist

2019 - PRESENT
  • Led the machine learning (ML) team that delivered a state-of-the-art, novel chest X-ray deep learning model to hospitals around the globe.
  • Made core contributions along the entire machine learning stack from data labeling, pre-processing, migration, anonymization, training, experimentation, and deployment.
  • Hired and trained team members and led projects from ideation to successful product delivery.
  • 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), Generative Pre-trained Transformers (GPT), DICOM, Image Recognition, Artificial Intelligence (AI)

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), Generative Pre-trained Transformers (GPT), Machine Learning, Redis, Dask, Kubernetes, OCR, Pytesseract, Image Recognition, Artificial Intelligence (AI)

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), Generative Pre-trained Transformers (GPT), Amazon Web Services (AWS), R, SQL, Artificial Intelligence (AI)

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.
2017 - 2018

Master of Research with Distinction in Computer Science

Macquarie University - Sydney, NSW, Australia

2013 - 2016

Bachelor of Science (First Class Honors) Degree in Mathematics and Computer Science

University of Sydney - Sydney, NSW, Australia


Certified Scrum Master

Scrum Alliance


PyTorch, TensorFlow, Dask, SpaCy


Python, SQL, R


Data Science, Scrum, Agile


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




Deep Learning, Machine Learning, Computer Vision, Natural Language Processing (NLP), OCR, Pytesseract, Image Recognition, Generative Pre-trained Transformers (GPT), Artificial Intelligence (AI), DICOM, Statistics, Engineering, APIs

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