Summary
Victor 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