Frederik Vosberg
Practice Lead Custom Software Solutions Applied AI at Qvest Digital AG
Bonn, North Rhine-Westphalia, Germany
Summary
👤
Senior🎓
Top SchoolFrederik Vosberg is a Practice Lead for Custom Software Solutions and Applied AI with 11 years of hands-on experience helping German B2B companies turn GenAI into measurable productivity gains. He blends product strategy, Go-based engineering and AI delivery—leading 50+ developers—to cut manual work, shrink lead times and produce short, board-level payback windows. Rather than chasing models, Frederik starts with process analysis: where time is wasted, the quantifiable ROI of fixing it, and whether automation can meet production standards for accuracy, risk and compliance. He’s shipped end-to-end solutions from rapid prototypes to production and has contributed reliability and test improvements to the popular Go mocking tool moq. Based in Bonn, he combines startup speed with enterprise governance to free capacity without adding headcount. If measurable operational ROI from GenAI is the question, Frederik builds the answer and implements it.
11 years of coding experience
13 years of employment as a software developer
Bachelor of Science - BS, Wirtschaftsinformatik, Bachelor of Science - BS, Wirtschaftsinformatik at FOM University of Applied Sciences for Economics and ManagementInformatik, Informatik at The University of Bonn
German, English, Latin
Github Skills (7)
golang10
code-generation10
go10
codegen10
mocking10
testing9
test-framework9
Programming languages (9)
Github contributions (5)
matryer/moq
Jul 2017 - Jul 2018
Interface mocking tool for go generate
Role in this project:
Back-end Developer & QA Engineer
Back-end Developer & QA EngineerContributions:10 commits, 4 PRs, 5 comments in 11 months
Contributions summary:Frederik primarily contributed to improving the `moq` tool, which is designed for mocking interfaces in Go. Their contributions involved fixing bugs related to test execution in forks and empty interface mocking, ensuring the tool correctly handled different scenarios and package imports. They also implemented new tests and refactored existing ones, demonstrating a focus on improving the tool's reliability and test coverage. The work highlights a dedication to improving the stability and usability of the mocking tool for Go developers.
go-generatemockinggolangtestingcodegen
fvosberg/elasticorm
Feb 2017 - Mar 2018
Contributions:9 commits, 1 PR, 38 pushes in 1 year
golangormelasticsearch
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