Timothé Faudot
Senior Staff Software Engineer at Google
Zurich, Zurich, Switzerland
Summary
👤
Senior🎓
Top SchoolTimothé Faudot is a Principal Software Engineer with 15 years of experience designing developer tools, Maps infrastructure and security-related software, having spent eight years at Google in Japan before relocating to Zurich in 2018. He combines deep systems and backend expertise with a pragmatic focus on data integrity and resilient pipelines—evidenced by contributions to the nCoV2019 open dataset where he implemented geocoding fallbacks and robust sheet processing. Comfortable across languages and platforms from large-scale distributed systems to tooling, Timothé has a track record of shipping production-grade solutions at Google while mentoring teams through architectural decisions. His academic background spans INSA Lyon and a Master’s from the University of Tokyo, where he began blending mobile healthcare research with practical engineering. Colleagues know him for a calm, methodical approach—aptly summarized in his GitHub bio, “Peace in code.”
15 years of coding experience
11 years of employment as a software developer
DUT, Computer Science, DUT, Computer Science at IUT A Lyon 1Master, Computer Science, Master, Computer Science at INSA Lyon - Institut National des Sciences Appliquées de LyonMaster, Computer Science, Master, Computer Science at School of Engineering The University of Tokyo
English, French, Japanese
Stackoverflow
945reputation
501kreached
10answers
11questions
Github Skills (14)
pandas10
data-pipeline10
python10
geocoding10
data-processing10
data-validation9
git8
audio6
http6
ctypes6
windows6
svn6
animated-gif6
wxpython6
Programming languages (6)
Github contributions (5)
beoutbreakprepared/nCoV2019
Apr 2020 - Jun 2020
Location for summaries and analysis of data related to n-CoV 2019, first reported in Wuhan, China
Role in this project:
Data Engineer
Data EngineerContributions:33 commits, 14 PRs, 23 pushes in 2 months
Contributions summary:Timothé primarily focused on enhancing the data processing pipeline for the nCoV2019 project. They implemented geocoding fallback capabilities, allowing for more robust location data. Additionally, the user worked on exporting unique data sources and ensuring data integrity by checking the number of rows. They also refactored parts of the sheet processing to better fit the needs of the data ingestion and processing.
locationwuhanchinasummariescov
attwad/pynessus
Jan 2014 - Jul 2014
Contributions:27 commits in 6 months
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