Victor Alhassan
Machine Learning Engineer
Ottawa, Ontario, Canada
Summary
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SeniorVictor Alhassan is a Machine Learning Engineer based in Ottawa with nine years of hands-on experience applying deep learning, computer vision, and geospatial analysis to real-world problems. He specializes in automating Land-Use and Land-Cover mapping from Landsat imagery, pairing image processing and pattern recognition with scalable ML pipelines. Known for persistence and analytical rigor, he bridges research and industry through collaborative projects that translate novel models into operational solutions. Victor’s work emphasizes big-data predictive analysis for geo-analytics and impactful deployment, reflecting a lifelong fascination with robotics and systems engineering. He is driven by adaptability and a practical focus on moving AI from prototype to production.
9 years of coding experience
Stackoverflow
83reputation
20kreached
0answers
1question
Github Skills (20)
semantic-segmentation10
datasets10
pytorch9
deep-learning9
image-segmentation8
segmentation8
machine-learning8
image-processing7
imagenet7
computer-vision7
opencv6
python6
numpy6
image6
transformers5
Programming languages (2)
Github contributions (5)
NRCan/geo-inference
Aug 2023 - Nov 2024
A light-weight python package for extracting features from geospatial imagery
Contributions:13 reviews, 2 PRs, 44 pushes in 1 year 2 months
valhassan/geo-deep-learning
Oct 2022 - Dec 2022
Deep learning applied to georeferenced datasets
Contributions:1 review, 93 commits, 1 PR in 2 months
deep-learningdatasetsmachine-learningapplied
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