Paul Tremberth

Agen, Nouvelle-Aquitaine, France
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Summary

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Paul Tremberth is a seasoned software engineer with 14 years’ experience specializing in system design and software architecture for networking environments. Based in Agen, France, he combines deep backend expertise in Python with a strong track record in hardening HTTP/TLS behavior, proxy support, and migration to Python 3 across prominent open-source projects like Scrapy. His contributions span reliable testing and QA automation (notably on Frontera) and data extraction improvements (extruct, parsel), reflecting a focus on robustness and data integrity. Trained in transmission and telecommunication systems at INPG ENSIMAG, he brings telecom-grade thinking to web crawling, scraping, and metadata tooling. Colleagues will find him pragmatic and detail-oriented—equally comfortable refactoring protocol code as writing comprehensive test suites to keep distributed systems resilient.
code14 years of coding experience
bookPreparatory Classes, Engineering Physics/Applied Physics, Preparatory Classes, Engineering Physics/Applied Physics at Lycée Hoche
bookLycée Marcel Roby
bookMaster of Technology (MTech), Transmission and Telecommunication Systems, Master of Technology (MTech), Transmission and Telecommunication Systems at INPG ENSIMAG/ENSERG Telecom Department
languagesGerman, Czech, French, English
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Github Skills (57)

json10
ss10
ssl10
data-validation10
pytest10
webscraper10
python10
testing10
scrape10
css-selectors10
http10
scraper10
sslv310
webscraping10
scrapy10

Programming languages (10)

C#DockerfileShellRCPLpgSQLJavaScriptHTML

Github contributions (5)

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scrapinghub/extruct

Sep 2014 - Jun 2017

Extract embedded metadata from HTML markup
Role in this project:
userBack-end Developer
Contributions:111 commits, 57 PRs, 57 pushes in 2 years 9 months
Contributions summary:Paul primarily focused on enhancing the `extruct` library's microdata extraction capabilities. Their contributions involved implementing a W3C-compliant microdata JSON representation extractor, adding support for un-nested items with "iid" references, and updating the service to utilize the new microdata extractor. The user also refactored the code and made improvements related to handling text content within the extracted metadata.
json-ldmicroformatsheadmeta-tagssemantic-web
scrapy/scrapy

Apr 2012 - Sep 2017

Scrapy, a fast high-level web crawling & scraping framework for Python.
Role in this project:
userBack-end Developer & Security Engineer
Contributions:4 releases, 673 commits, 429 PRs in 5 years 6 months
Contributions summary:Paul primarily focused on enhancing the Scrapy framework's HTTP and HTTPS capabilities. Their contributions involved implementing features related to proxy usage, HTTP/1.1 support, and TLS protocol configuration. Additionally, the user addressed security concerns by modifying the HTTP client to handle TLS connections securely and incorporating functionalities to manage potential security vulnerabilities. The user also made changes to URL handling and HTTP response processing.
pythonscrapyscraping-frameworkhigh-levelweb-crawling
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Paul Tremberth