Fela Winkelmolen

AI Research & Engineering at Keeper

Berlin Metropolitan Area Germany
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Summary

👤
Senior
🎓
Top School
Fela Winkelmolen is a founder and machine learning practitioner with 14 years of experience building production ML systems and tooling across startups and Amazon/AWS. He helped prototype AWS Autopilot and authored internal libraries for hyperparameter tuning and benchmarking that became core to his research team's workflow, bridging scientist needs and engineering rigor. At Amazon he transitioned from software engineer to ML scientist without a PhD by self-teaching advanced ML and teaching internal courses, a sign of his practical mastery and pedagogy. He’s advised early-stage teams on ML strategy—pushing LLM adoption at Twain—and now runs a stealth AI startup from Berlin focused on exploratory, high-impact work. Early startup stints gave him full-stack product chops and a bias for pragmatic, shipping-first solutions that scale. Collected across roles, his strength is converting research into reliable production features and developer-friendly tooling.
code14 years of coding experience
job13 years of employment as a software developer
bookMaster's degree Computer Science, Master's degree Computer Science at Università degli Studi di Genova
languagesItalian, Dutch, English, German
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Github Skills (37)

aws10
jupyter-notebook10
data-science9
reinforcement-learning9
ensemble-learning9
sagemaker9
machine-learning9
gluon9
inference9
deep-learning9
amazon-sagemaker9
automated-machine-learning9
transfer-learning9
structured-data9
forecast8

Programming languages (3)

JavaScriptJupyter NotebookPython

Github contributions (5)

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fela/connect-everything

Mar 2013 - Nov 2020

Connect Everything! A simple HTML5 Logic Game
Contributions:242 commits, 3 PRs, 20 pushes in 7 years 9 months
fela/rlid

Jun 2013 - Nov 2014

Contributions:12 commits, 1 push in 1 year 4 months
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