Matthias Mozer
Principal Machinel Learning Engineer at Movable Ink
Berlin, Germany
Summary
👤
Senior🎓
Top SchoolMatthias Mozer is a Principal Machine Learning Engineer with 11 years of experience building end-to-end ML solutions that translate directly into business impact, currently leading autonomous send-decision agents for personalized email at Movable Ink. He combines deep academic training (Dr. rer. nat. in Physics) and a track record from CERN and KIT with hands-on engineering in Python, C/C++, TensorFlow and PyTorch to move models from research to production on GCP. At Wayfair he led EU data science technology strategy and revamped delivery-date prediction to increase revenue without altering the supply chain, illustrating a pragmatic focus on high-leverage solutions. His background in particle physics gives him rare expertise in complex data acquisition and large-scale experimental systems, which he applies to robust ML pipelines and DevOps automation. Fluent in English and German and experienced in international teams, he is comfortable owning technical decisions while mentoring others. He also contributes to open-source automation for scientific computing, improving build and release processes for high-profile projects such as generator workflows used in MC production.
11 years of coding experience
6 years of employment as a software developer
Dr. rer. nat. Physik, Dr. rer. nat. Physik at Heidelberg UniversityMaster of Science (M.Sc.) Physics, Master of Science (M.Sc.) Physics at Ohio University
English, German
Github Skills (13)
sh10
automation10
script10
automations10
shell10
gridfs10
package-management10
grid10
grids10
build-automation10
scripting10
patch10
makefile8
Programming languages (2)
Github contributions (5)
cms-sw/genproductions
Jul 2015 - Nov 2017
Generator fragments for MC production
Role in this project:
DevOps Engineer & Automation Engineer
DevOps Engineer & Automation EngineerContributions:22 commits, 5 PRs, 17 comments in 2 years 4 months
Contributions summary:Matthias focused on improving the build and release process of the project. Their contributions included modifying shell scripts for gridpack generation, incorporating patches, and updating the build process to include reweighting steps. The changes also involved improving the handling of recompilation issues, and updating card generation scripts.
productionfragments
mmozercern/genproductions
Jul 2015 - Nov 2017
Contributions:13 pushes, 5 branches in 2 years 4 months
productionfragments
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