Peter Ludemann
Machine Learning Engineer
Los Altos, California, United States
Summary
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RockstarPeter Ludemann is a Machine Learning Engineer with eight years of experience blending research-oriented thinking—logic programming, NLP, compilers—with practical production work in big data environments. Based in Los Altos, he brings a track record across major organizations (ex-Google, Yahoo, IBM) and startups, pairing strong engineering fundamentals with applied ML. An active open-source maintainer, he contributes to the prominent SWI-Prolog project, improving build systems, foreign language API docs, and long-lived code health. He is comfortable navigating low-level systems details as well as model and data pipelines, and often surfaces subtle correctness and tooling improvements that prevent downstream issues.
8 years of coding experience
Github Skills (7)
maintenance10
prolog10
api10
logic-programming10
apidoc10
pcre9
documentation8
Programming languages (12)
Github contributions (5)
SWI-Prolog/swipl-devel
Dec 2019 - Jan 2023
SWI-Prolog Main development repository
Role in this project:
Back-end Developer
Back-end DeveloperContributions:39 reviews, 30 commits, 87 PRs in 3 years 1 month
Contributions summary:Peter primarily focused on code maintenance and bug fixes within the SWI-Prolog development repository. Their contributions included correcting spelling errors in the source code and updating library files to incorporate new features or correct existing functionalities. The user also made changes to the build configurations to support a migration to PCRE2. Additionally, they added and refined documentation related to the foreign language API, specifically concerning atoms and blobs.
datalogprologlogic-programmingswiswi-prolog
kamahen/contrib-protobufs
May 2021 - Jun 2021
An interface to Google Protocol Buffers (protobuf)
Contributions:64 commits, 96 pushes, 38 branches in 1 month
golangprotocol-buffersgoogle-protocol-buffersprotobufgrpc
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