Florence Perot
Technical Program Manager - Cloud Platform Machine Learning
San Francisco Bay Area United States
Summary
👤
Senior🎓
Top SchoolFlorence Perot is a seasoned technical program manager and software engineering leader with over 15 years delivering scalable, enterprise-grade cloud and ML-enabled platforms across startups and large organizations. Currently at Google Cloud AI, she blends hands-on engineering, program management, and continuous-improvement automation to drive complex, distributed projects to production. Her background spans cloud (OpenStack, AWS, Azure), SaaS APIs, and mobile/web UI frameworks, and she has a history of building and scaling teams that exceed revenue and delivery goals within two years. Florence is also an attentive open-source contributor to Google Cloud Python samples and client libraries, improving documentation and usability for widely used repos. An MS in CS focused on AI plus an MBA underpin her rare mix of technical depth, product sensibility, and licensing/IP experience from enterprise M&A and platform evangelism.
9 years of coding experience
12 years of employment as a software developer
MS Computer science Artificial Intelligence, MS Computer science Artificial Intelligence at Rochester Institute of TechnologyMBA Global Management, MBA Global Management at University of PhoenixEngineer Project management, Engineer Project management at Institut national agronomique Paris-Grignon
Stackoverflow
1reputation
0reached
1answer
0questions
Github Skills (10)
sample-rate10
sample-size10
automl10
read-me10
google-cloud10
python10
sample-data10
documentation10
bigquery8
google-cloud-ml6
Programming languages (6)
Github contributions (5)
GoogleCloudPlatform/python-docs-samples
Apr 2017 - Sep 2019
Code samples used on cloud.google.com
Role in this project:
Back-end Developer
Back-end DeveloperContributions:18 commits, 20 PRs, 46 comments in 2 years 4 months
Contributions summary:Florence primarily focused on updating and correcting file paths and dependencies within the Google Cloud documentation samples. Their contributions involved correcting file references for video analysis and AutoML examples. They also removed outdated references and resolved typos to improve the overall usability and correctness of the provided code samples. Furthermore, the user renamed files to align with the documentation.
gcppythongoogle-cloudgoogle-cloud-rungoogle-appengine
googleapis/google-cloud-python
May 2017 - Jul 2017
Google Cloud Client Library for Python
Role in this project:Technical Writer
Technical WriterContributions:3 commits, 4 PRs, 1 comment in 1 month
Contributions summary:Florence's contributions primarily focused on updating documentation links and correcting package names within the Google Cloud Python client library. They updated links in the README files for the Translation and Speech services to reflect changes in the documentation URLs. Additionally, the user made corrections to package names in the documentation for the Video Intelligence service. Furthermore, they updated the usage documentation for the GCS files.
gcpappenginepythongoogleclient-library
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