Sebastian Mika
Director Machine Learning at Moody's Analytics
Berlin Metropolitan Area Germany
Summary
👤
Senior🎓
Top SchoolSebastian Mika is a Director of Machine Learning with 11+ years of experience building data-driven, scalable solutions and leading teams to deliver products that "shine." He has led data and ML organizations through growth and acquisitions at companies including CAPE Analytics (now part of Moody's), Navan, and Comtravo, and now directs machine learning at Moody's Analytics from Berlin. Sebastian blends deep technical roots — a PhD in computer science/mathematics and early research stints with Vapnik and Microsoft Research — with hands-on engineering, having contributed German-language improvements to the widely used Duckling parsing library. He is skilled at turning messy real-world signals into reliable production systems, from real-time location analytics to risk and forecasting models. Known as a team builder and enabler, he focuses on scalable, maintainable solutions and celebrating shared victories. An interesting through-line: he pairs rigorous academic training with practical localization and engineering fixes that improve user-facing accuracy.
11 years of coding experience
10 years of employment as a software developer
Doctor of Philosophy (PhD) Computer Science Mathematics, Doctor of Philosophy (PhD) Computer Science Mathematics at Technische Universität Berlin
English, German, Latin, Greek
Stackoverflow
1reputation
0reached
0answers
0questions
Github Skills (10)
clojure10
regular-expression10
localization10
nlp10
natural-language-processing10
clojure-cli10
parse9
git-repository8
github-repos8
github8
Programming languages (5)
Github contributions (5)
facebookarchive/duckling_old
Jun 2016 - Dec 2016
Deprecated in favor of https://github.com/facebook/duckling
Role in this project:
Back-end Developer / Localization Specialist
Back-end Developer / Localization SpecialistContributions:8 commits, 8 PRs, 2 comments in 6 months
Contributions summary:Sebastian primarily focused on improving the accuracy and functionality of German language processing within the Duckling library. Their contributions involved fixing bugs related to date and time parsing, including issues with named days, month abbreviations, and formatting. The user also addressed bugs related to number parsing, particularly for German floats and the handling of thousands separators. Additionally, they made improvements to the code, refactoring and providing context.
react-nativefacebookreactduckling
sebastianmika/duckling
Jun 2016 - Nov 2019
Probabilistic parser
Contributions:18 PRs, 43 pushes, 26 branches in 3 years 5 months
probabilisticpythonparser
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