Jarno Seppänen
Principal Research Scientist at NVIDIA
Helsinki, Finland
Summary
🤩
Rockstar🎓
Top SchoolJarno Seppänen is a Principal Research Scientist with 16+ years of experience applying machine learning to large-scale, real-world classification and recommendation systems, now working at NVIDIA after leading ML efforts at Supercell. He specializes in designing and tuning distributed algorithms for cluster-scale data processing as well as building real-time sensor and audio signal detection software for mobile devices. His background spans mobile maps, navigation, music and audio applications, reflecting a rare blend of embedded real-time engineering and big-data ML production work. He prefers pragmatic, tool-appropriate solutions over fashionable frameworks and has led trial projects to launch and evaluate new mobile services. Based in Helsinki, he holds an M.Sc. (with distinction) from Tampere University of Technology and brings deep hands-on experience from Nokia-era research to cutting-edge ML deployments. An understated strength is his ability to bridge low-latency embedded constraints with scalable backend architectures.
16 years of coding experience
26 years of employment as a software developer
Master of Science (M.Sc.), Master of Science (M.Sc.) at Tampereen teknillinen korkeakoulu / Tampere University of Technology
Github Skills (104)
python10
deep-learning10
gpu10
optimization10
c5110
wandb10
deep-reinforcement-learning10
actor-critic10
reinforcement-learning10
algorithms10
pytorch10
machine-learning10
dqn10
ddpg10
proximal-policy-optimization10
Programming languages (8)
Github contributions (5)
jseppanen/emrscripts
Jan 2015 - Nov 2015
Contributions:33 commits, 23 pushes, 1 branch in 9 months
jseppanen/azalea
Aug 2018 - Dec 2019
Hex board game AI with self-play learning based on the AlphaZero algorithm
Contributions:8 commits, 7 pushes, 1 branch in 1 year 4 months
game-ai
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