Felix Hamborg
Heidelberg, Baden-Württemberg, Germany
Summary
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RockstarFelix Hamborg is a computer science researcher and practitioner with a decade of experience at the intersection of NLP and machine learning, specializing in bias detection and efficient fine-tuning of deep language models. His Ph.D., supported by the Carl Zeiss Foundation, produced novel NLP methods for automated identification of biased news coverage, and he continues to translate research into product as the lead of a team focused on drastically improving fine-tuning efficiency for large models. He founded a spin-off that packages these capabilities into an accessible content-analysis app (textada.org), showing a talent for moving ideas from prototype to user-facing tools. An active open-source contributor, Felix has backed production-grade tooling such as the news-please news crawler, improving its JSON export and data pipeline robustness. Based in Heidelberg, he combines academic rigor with hands-on backend engineering to deliver practical, research-driven ML solutions.
9 years of coding experience
Github Skills (5)
json10
scrapy10
python10
data-pipelines9
data-pipeline9
Programming languages (14)
Github contributions (5)
fhamborg/NewsBirdServer
Jan 2017 - Jun 2018
Contributions:14 commits, 1 PR, 10 pushes in 1 year 5 months
fhamborg/newstsc
Oct 2019 - May 2021
Contributions:190 commits, 5 pushes in 1 year 7 months
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