Daniel Řezníček
Machine Learning Engineer at Vacasa
Prague, Czechia
Summary
👤
Senior🎓
Top SchoolDaniel Řezníček is a Machine Learning Engineer with 11 years of experience building production ML systems and end-to-end product features from Prague. He specializes in dynamic pricing and large-scale ML deployments—most recently developing a state-of-the-art pricing engine for 40,000 short-term rental units at Vacasa—while also contributing across modelling, infra, QA and devops. Daniel has moved fluidly between research and product roles, from non-linear brain modelling and recommender experiments to on-device signal processing and full iOS feature ownership, showing a rare mix of academic rigor and product-minded engineering. He thrives in collaborative, adaptable teams, enjoys prototyping with generative AI (winning two internal hackathons), and often bridges gaps between analytics, app development and infrastructure. Educated at Cambridge in experimental and theoretical physics, he brings strong quantitative foundations paired with practical software delivery.
11 years of coding experience
10 years of employment as a software developer
MSci, Natural Sciences - Experimental and Theoretical Physics, First Class, MSci, Natural Sciences - Experimental and Theoretical Physics, First Class at University of CambridgeMaturita, Literature, Maths, Physics, Chemistry, French, Maturita, Literature, Maths, Physics, Chemistry, French at Gymnázium Jana Keplera
Czech, English, French, Spanish, German, Italian
Github Skills (26)
sublime-text8
sublime7
textmate7
sublime-text-plugin7
segment6
jekyll5
api-ai5
linux5
windows5
latex4
phrases4
sdk3
raycast3
ios2
conversation2
Programming languages (7)
Github contributions (5)
pirati-cz/goverMap
Apr 2015 - Sep 2015
Contributions:11 commits, 8 pushes, 1 comment in 5 months
daneeq/blindspot-test
Jun 2017 - Jul 2017
Contributions:7 pushes, 1 branch in 28 days
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