Naomi Terhljan
AI Engineer at Riskfuel
Old Toronto, Ontario, Canada
Summary
🤩
Rockstar🎓
Top SchoolNaomi Terhljan is an AI Engineer based in Old Toronto with six years of experience building and deploying machine learning systems across research and industry. Currently at Riskfuel, she bridges research and production work, having progressed from AI research developer to engineering roles that emphasize model deployment, evaluation, and dataset integration. Her contributions to the COVID-Net open-source project — adding inference, evaluation scripts, and dataset handling for pneumonia detection — highlight a practical focus on reliable medical imaging pipelines. With a BASc in Biomedical Engineering (Computing Option) from the University of Waterloo, she combines domain knowledge in health tech with hands-on ML engineering. Colleagues value her for turning research prototypes into testable, production-ready systems and for attention to robust evaluation and data-management details that are easy to overlook.
6 years of coding experience
2 years of employment as a software developer
Bachelor of Applied Science - BASc, Biomedical Engineering / Computing Option, Bachelor of Applied Science - BASc, Biomedical Engineering / Computing Option at University of Waterloo
Github Skills (14)
vi10
computer-vision10
eval10
machine-learning10
tensorflow10
python10
evaluation10
co10
covid-testing10
data-processing9
pandas8
scikit8
scikit-learn8
data-science8
Programming languages (2)
Github contributions (3)
lindawangg/COVID-Net
Oct 2020 - Mar 2021
COVID-Net Open Source Initiative
Role in this project:
ML Engineer / Data Scientist
ML Engineer / Data ScientistContributions:12 reviews, 33 commits, 14 PRs in 4 months
Contributions summary:Naomi contributed to the development and evaluation of a pneumonia detection model within the COVID-Net project. Their work includes adding inference capabilities for pneumonia classification, creating an evaluation script to assess model performance, and fixing errors in the inference code. The user also merged updates related to dataset integration for binary classification and incorporated dataset changes from the COVIDxV5 datasets. This suggests a focus on model deployment, evaluation, and dataset management.
chest-radiographyinitiativecovid-netcovidx-datasetcoronavirus-detect
NaomiTerhljan/pushTileGame
May 2020 - May 2020
Contributions:1 push in 1 day
Find and Hire Top DevelopersWe’ve analyzed the programming source code of over 60 million software developers on GitHub and scored them by 50,000 skills. Sign-up on Prog,AI to search for software developers.