Amir Hadjifaradji
AI Research Engineer at ScreenPoint Medical
North Vancouver, British Columbia, Canada
Summary
👤
Senior🎓
Top SchoolAmir Hadjifaradji is an AI research engineer with 9 years of experience building production-ready computer vision and machine learning systems across academia and industry. With an MASc in Biomedical Engineering from UBC, he has applied deep learning and graph neural networks to large-scale histopathology datasets and developed object detection pipelines for mitosis and cell identification. In industry roles he has led end-to-end AI products—deploying real-time sheep tracking with YOLO and DeepSort, integrating services with Flask/WebSockets, and managing identity data with Postgres. Comfortable containerizing and running workloads on HPC, he bridges research rigor with practical software engineering, from C# web apps to PyTorch model training. Colleagues value his ability to turn messy biomedical imagery into clean, deployable ML solutions and his knack for building custom annotation and data management tools that accelerate model development.
9 years of coding experience
5 years of employment as a software developer
Master of Applied Science, Biomedical/Medical Engineering Computer Vision, Master of Applied Science, Biomedical/Medical Engineering Computer Vision at The University of British ColumbiaBachelor of Applied Science Honours - BASc, Biomedical/Medical Engineering, Bachelor of Applied Science Honours - BASc, Biomedical/Medical Engineering at Simon Fraser University
Github Skills (6)
crossword6
python4
machine-learning-models4
machine-learning3
ai2
data-science1
Programming languages (3)
Github contributions (5)
amirfaraji/LowDoseCTPytorch
Aug 2020 - Dec 2020
Contributions:9 commits, 2 pushes, 1 comment in 3 months
amirfaraji/CellTracking
Feb 2020 - Feb 2020
Cell Tracking Challenge
Contributions:10 commits, 5 PRs, 8 pushes in 4 days
trackingcell-tracking
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