Jonne Pohjankukka
Senior Scientist, Coordinator Of AI Method Services
Turku, Mainland Finland
Summary
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Top SchoolJonne Pohjankukka is a senior scientist and AI coordinator with 8+ years of experience turning remote sensing, computer vision and statistical learning research into production-grade, cloud-native solutions for public and private sectors. He combines a PhD-backed foundation in multisensor machine learning with hands-on engineering of Azure-based CI/CD pipelines, Kubernetes deployments, and end-to-end AI workflows for applications from peatland mapping to robotic seedling classification. Comfortable bridging theory and practice, he pursues Bayesian optimization and neural-net innovations while managing projects, grant writing, and teaching machine learning courses. His background in maritime sensor fusion and hyperspectral species classification highlights an uncommon breadth across LiDAR, SAR, drones and high-resolution spectral analytics. Based in Turku, Finland, he is equally at home prototyping algorithms in Python/Matlab and delivering scalable services for national-scale GIS and natural resource management.
7 years of coding experience
4 years of employment as a software developer
Bachelor of Science (B.Sc.), Information Technology, Eximia cum laude approbatur (Very good), Bachelor of Science (B.Sc.), Information Technology, Eximia cum laude approbatur (Very good) at University of TurkuDoctor of Philosophy (Ph.D.), Computer science, data analysis, machine learning, Doctor of Philosophy (Ph.D.), Computer science, data analysis, machine learning at Turun yliopisto - University of Turku
Russian, English, Swedish, Chinese, FinnishGithub contributions (5)
jjepsuomi/Neural-networks-and-Hamiltonian-Monte-Carlo
May 2019 - Aug 2020
Contributions:36 commits, 34 pushes, 1 branch in 1 year 2 months
jjepsuomi/Primer-to-support-vector-machines
Feb 2019 - Aug 2019
Contributions:121 pushes, 1 branch in 6 months
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