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

Xavier Holt

Deep Learning Developer

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

Xavier is a lead ML engineer with extensive experience building and shipping deep-learning and traditional machine learning (ML) 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 expertise as an individual contributor and team leader.

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


Python - 8 yearsMachine Learning - 8 yearsData Science - 7 yearsNatural Language Processing (NLP) - 6 yearsGPT - 6 yearsGenerative Pre-trained Transformers (GPT) - 6 yearsDeep Learning - 4 yearsTensorFlow - 4 years


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.

Work Experience

2019 - PRESENT

Lead Applied AI Scientist

  • 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, Generative Pre-trained Transformers (GPT), GPT, Natural Language Processing (NLP), DICOM, Image Recognition, Artificial Intelligence (AI)
2017 - 2019

Senior Data Scientist

  • 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), GPT, Generative Pre-trained Transformers (GPT), Natural Language Processing (NLP), Machine Learning, Redis, Dask, Kubernetes, OCR, Pytesseract, Image Recognition, Artificial Intelligence (AI)
2017 - 2018

Data Scientist

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), GPT, 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.



Python, SQL, R


PyTorch, TensorFlow, Dask, SpaCy


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, GPT, Generative Pre-trained Transformers (GPT), Artificial Intelligence (AI), DICOM, Statistics, Engineering, APIs




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