Honorardozent Für Künstliche Intelligenz & Mathematik
Dresden, Saxony, Germany
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Summary
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Rockstar
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Top School
Robert Eisele is an applied AI and mathematics practitioner with 16 years of experience building data-driven products, leading teams, and founding XOR Ventures to deliver automation and new business lines. He combines hands-on software engineering—from front-end performance work for brands like BMW to backend math libraries contributions—with applied ML for transaction categorization and risk assessment at Visa. As a lecturer at FH Dresden he trains the next generation in AI and math while publishing substantial open-source R&D through raw.org (collectively driving hundreds of millions of downloads annually). His background spans startups and enterprise roles including CTO and Head Data Architect, giving him a rare blend of product, architecture, and research skills. Notably, he has contributed to widely used projects such as mathjs and practical tooling like a jQuery webcam plugin, showing attention to both numerical correctness and production readiness. He focuses on structuring data and processes, building intelligent software, and enabling teams to overcome change resistance to create measurable business impact.
15 years of coding experience
18 years of employment as a software developer
Computer Science / Mathematics, Computer Science / Mathematics at The Open University
Informatik / Psychologie, Informatik / Psychologie at Eberhard Karls Universität Tübingen
Assistent für Softwaretechnologie, Assistent für Softwaretechnologie at b.i.b. International College
Contributions:17 commits, 1 PR, 3 pushes in 7 years 2 months
Contributions summary:Robert primarily contributed to the jQuery webcam plugin's front-end functionality and code quality. They updated the license information, made the code release-ready, and addressed compatibility issues. The user also added a minified version of the JavaScript file for production use, followed by updates to both the standard and minified JavaScript files. These changes likely involved refinements to the plugin's features and improvements to its performance and maintainability.
An extensive math library for JavaScript and Node.js
Role in this project:
Backend Developer
Contributions:15 commits, 1 PR, 3 pushes in 5 months
Contributions summary:Robert primarily contributed to the `mathjs` library, focusing on enhancements to the fraction and complex number functionalities. They implemented and refined arithmetic operations for fractions, including LCM and unary minus, and made corrections to the Complex number parsing. The user also wrote and updated test cases to ensure the accuracy and reliability of the mathematical functions.
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Robert Eisele - Honorardozent Für Künstliche Intelligenz & Mathematik