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

Xavier Holt

Deep Learning Developer

Location
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.

Xavier is available for hire
Hire Xavier

Portfolio

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

Experience

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

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.

Work Experience

2019 - PRESENT

Lead Applied AI Scientist

harrison.ai
  • 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

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), 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)

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

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

Storage

Redis

Education

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

Certifications

OCTOBER 2021 - PRESENT

Certified Scrum Master

Scrum Alliance