Antti Mäkinen
Senior Data Scientist
Helsinki, Finland
Summary
👤
Senior🎓
Top SchoolAntti Mäkinen is a Senior Data Scientist in Helsinki with a PhD in engineering physics and a decade of experience blending physics, applied mathematics, and software engineering to solve real-world problems. He currently leads data-team software development at Danfoss Leanheat Building, focusing on data-driven heating optimization and advanced control models such as Gaussian-process-based and improved steady-state controllers. His background spans from SQUID-detected ultra-low-field MRI research to physical-layer base-station software at Nokia, giving him a rare combination of experimental, theoretical, and embedded systems expertise. Antti is skilled at turning complex analytics into production-ready tooling and workflows, including automated data categorization, package management, and release automation. He brings a researcher's rigor to product development, frequently bridging gaps between modelling assumptions and deployable control strategies. Based in Finland, he pairs deep academic credentials with hands-on delivery of scalable, energy-focused solutions.
10 years of coding experience
10 years of employment as a software developer
Mäntän lukioDoctor of Science (tech), Engineering Physics, Doctor of Science (tech), Engineering Physics at Aalto UniversityDanmarks Tekniske Universitet
English, Finnish, Swedish, French
Github Skills (30)
convex9
optimization8
convex-optimization8
numerical-optimization8
modeling7
python7
embedded6
mathematical-optimization6
kalman6
cvxpy6
kalman-filter6
filter5
python-interface5
pystan4
clp4
Programming languages (3)
Github contributions (5)
solbes/minkf
Sep 2021 - Apr 2022
Kalman filter, nothing more
Contributions:4 releases, 2 reviews, 36 commits in 7 months
kalman-filternothingfilterkalman
solbes/blinpy
Aug 2020 - Jun 2021
Bayesian linear models in python
Contributions:13 releases, 82 commits, 1 PR in 10 months
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