Eemeli Palotie

Lead Machine Learning Engineer at RELEX Solutions

Helsinki, Finland
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Summary

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Eemeli Palotie is a Lead Machine Learning Engineer based in Helsinki with 11 years of experience building reliable, production-grade systems across ML, backend and SRE domains. At RELEX he has evolved from hands-on technical consultant and SRE lead into architecting and shipping GenAI solutions, guiding full-stack teams using technologies from Elixir and Node.js to TypeScript, Python and Kubernetes. He combines deep operational experience—keeping private cloud infrastructure and mission-critical automation running—with software architecture skills for large-scale forecasting and workforce products. An active contributor to open-source Java tooling, he has fixed subtle locale parsing bugs in the widely used Morphia MongoDB mapper, showing attention to edge cases that surface in global deployments. With an academic background in industrial engineering and electrical power, he brings a pragmatic systems-thinking approach to turning complex distributed requirements into maintainable production services.
code11 years of coding experience
job5 years of employment as a software developer
bookBachelor's degree Electrical Power Engineering, Bachelor's degree Electrical Power Engineering at Metropolia University of Applied Sciences
bookMaster's degree Industrial Engineering and Management, Master's degree Industrial Engineering and Management at Aalto University
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Github Skills (16)

javas10
mongodb10
java10
mongodb-database10
slf4j9
testing9
logging9
mongoose6
neo4j6
javascript6
apollo6
cypher6
apollo-client6
database6
react6

Programming languages (7)

TypeScriptC#JavaRustJavaScriptZigPython

Github contributions (5)

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MorphiaOrg/morphia

Aug 2014 - Sep 2014

MongoDB object-document mapper in Java based on https://github.com/mongodb/mongo-java-driver
Role in this project:
userBack-end Developer
Contributions:5 commits, 1 PR, 7 comments in 3 days
Contributions summary:Eemeli primarily focused on fixing and enhancing the `LocaleConverter` class within the Morphia project, addressing issues related to incomplete locales. Their work included modifying the code to correctly parse and handle different locale formats. Further contributions involved merging updates from the original master branch and resolving merge conflicts related to the LocaleConverterTest. The commits also involved adding test cases for specific incomplete locale scenarios.
mongo-java-drivermongokotlindocument-mappermapper
eemelipa/civ5PitbossStatus

Apr 2017 - Jan 2018

Contributions:13 pushes, 1 branch in 9 months
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Eemeli Palotie - Lead Machine Learning Engineer at RELEX Solutions