Joonas Nissinen
Staff Data Scientist
Helsinki, Finland
Summary
👤
Senior🎓
Top SchoolJoonas Nissinen is a Staff Data Scientist based in Helsinki with 11 years of experience bridging software engineering and applied machine learning across industries including mixed reality, gaming and journalism. He moved from a strong C/C++ and graphics background into research-driven ML work—his master's thesis produced a novel semi-supervised CNN architecture for real-time indoor material segmentation. At Futurice and now Smartly he has led data science initiatives that turn technically complex problems into user-facing value, combining prototyping speed with production-minded engineering. Comfortable with both low-level systems and high-level ML tooling, he brings a pragmatic researcher’s mindset to product teams and is particularly skilled at translating cutting-edge methods into reliable solutions.
11 years of coding experience
14 years of employment as a software developer
Master of Science - MS Computer Science, Master of Science - MS Computer Science at Aalto University
Github Skills (12)
image9
data-science9
python9
tensorflow9
machine-learning9
deep-learning9
pytorch9
jax8
image-processing8
imaging7
neural-network7
cross-platform6
Programming languages (1)
Github contributions (5)
Zerphed/zerphed.github.io
Apr 2015 - Jun 2015
Contributions:32 pushes, 1 branch in 1 month
jnissin/semantic-segmentation
May 2017 - Apr 2018
Contributions:218 commits in 10 months
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