Sareh Nejad
Data Scientist - AI Engineer BrainsCAN
Vancouver, British Columbia, Canada
Summary
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Senior🎓
Top SchoolSareh Nejad is a data scientist and AI engineer with nine years of experience applying machine learning to healthcare, neuroimaging, surveillance, and fraud detection. With an M.Sc. in Computer Science (Computer Vision) and a track record of deploying production-ready models, she has delivered high-impact results—from 94% ECG arrhythmia classification accuracy to an 85% AUC in weakly supervised video anomaly detection. At BrainsCAN she helped build a large multimodal EEG/fMRI/behavioral dataset and robust preprocessing pipelines, and at the Vector Institute she led anomaly detection workshops and deployed tailored fraud solutions that boosted accuracy while cutting false positives. Her work spans deep learning (1D CNNs, RNNs, I3D), classical ML (XGBoost, SVM), and practical tooling for medical imaging and EHR NLP, demonstrating an ability to translate research into operational gains. Notably, she has experience processing terabytes of video data and reconstructing panoramic x-rays from CBCT to accelerate clinical decisions, reflecting both scale and domain breadth. Based in Vancouver, she combines rigorous academic training with hands-on engineering and stakeholder-focused delivery.
9 years of coding experience
5 years of employment as a software developer
Master of Science - MS, Computer Science, Computer Vision, 4/4, Master of Science - MS, Computer Science, Computer Vision, 4/4 at Western UniversityAmirkabir University of TechnologyDiploma, Physics, 19.92/20, Diploma, Physics, 19.92/20 at National Organization for Development of Exceptional Talents (Sampad)
English, PersianProgramming languages (2)
Github contributions (5)
sarehsoltani/BSc-Thesis
Mar 2019 - Feb 2021
Contributions:109 commits, 15 pushes in 1 year 11 months
sarehsoltani/AI-ClassicalSearchAlgorithms
Mar 2019 - Mar 2025
Contributions:10 pushes, 1 branch in 6 years
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