Joni Latvala

Technical Lead at Combient Foundry

Helsinki, Finland
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Summary

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Senior
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Top School
Joni Latvala is a multidisciplinary technical lead with nine years of experience blending data science, software engineering and business strategy to turn complex ideas into scalable products. As a co-founder and former CTO who helped grow TalentAdore to €1M ARR, he combines hands-on ML and NLP engineering with cloud-native architecture, DevOps and strong B2B sales instincts. At Combient Foundry he now leads technical delivery, applying mathematical modelling, Bayesian methods and custom neural solutions to real-world problems. Trained in life sciences and human neuroscience (MSc Hons), he uniquely bridges computational science and human-centered product thinking—often drawing on neuroscience and quantum-inspired perspectives in his work. Known as a “mathemagician,” he pairs deep theoretical curiosity with practical automation and coaching skills to inspire teams and accelerate idea-to-market velocity.
code9 years of coding experience
job10 years of employment as a software developer
bookB.Sc (Tech.), HEBIOT-programme, Biotechnology, B.Sc (Tech.), HEBIOT-programme, Biotechnology at Aalto University
languagesFinnish, English, German, Swedish, French, Japanese
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Stackoverflow

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Github Skills (54)

inverse9
qdrant9
inverse-problems9
dataclass9
mne-python9
weaviate8
rewriting7
fastapi7
semantic-search7
machine-learning7
multimodal7
gpu7
tensorflow7
deep-learning7
protobuf7

Programming languages (6)

TypeScriptC++GoHTMLJupyter NotebookPython

Github contributions (5)

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jjlatval/LSTM_LDA

Oct 2016 - May 2019

Contributions:10 commits, 8 pushes, 1 branch in 2 years 7 months
jjlatval/MEG-inverse-UNet

Nov 2017 - Mar 2021

A U-Net for approximating the MEG inverse problem
Contributions:17 commits, 9 PRs, 16 pushes in 3 years 4 months
deep-learninggpuinverse-problemstensorflow-gpumachine-learning
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