Peter Lohmann is a Senior Cloud Engineer with a PhD in theoretical computer science and over a decade of experience building data-driven, serverless-friendly cloud systems. He has led product and engineering efforts translating meteorological expertise into robust big-data architectures and APIs at organizations like DTN and Citadel, and now drives cloud initiatives at EWE TRADING. A pragmatic polyglot, he combines Python and Terraform for production infrastructure with a background in C++, Lua, and Ruby, enabling both low-level performance work and high-level orchestration. His academic training in logic and complexity informs a methodical approach to algorithm design and systems resilience. Colleagues rely on him to tame complexity and deliver elegant, maintainable solutions for domain-heavy problems in weather and trading contexts.
9 years of coding experience
15 years of employment as a software developer
PhD Theoretical Computer Science, PhD Theoretical Computer Science at Leibniz Universität Hannover
Terraform module to create role to be assumed by Drone CI
Contributions:3 releases, 3 PRs, 3 pushes in 11 months
drone-citerraformdroneawsrole
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