Tobias Hermann

System Scientist at Roche Diabetes Care

Mannheim, Baden-Württemberg, Germany
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Summary

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Tobias Hermann is a System Scientist with 11 years of experience blending functional programming, machine learning, and pragmatic software architecture to solve medical-technology problems. Based in Mannheim, he has moved between consultancy and in-house roles at Roche and medical-device firms, pairing a Master’s in Micromedical Engineering with hands-on development of clinical prototypes and device maintenance. He contributes to notable open-source projects such as frugally-deep and the Conan Center Index, helping bridge TensorFlow/Keras models into C++ and packaging them for wider use. Known for clean backend work and optimization-minded engineering, he brings a rare mix of ML model integration expertise and production-grade packaging that accelerates deployment in regulated healthcare contexts.
code11 years of coding experience
bookMaster of Science - MS Mikromedizintechnik, Master of Science - MS Mikromedizintechnik at Hochschule Furtwangen
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tensorflow
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background-process
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keras
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image-processing
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python
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Github Skills (32)

dependency-manager10
dependency-management10
cpp-library10
opencv10
c-language10
convolutional-neural-networks10
package-management10
dependency-analysis10
conan10
machine-learning10
keras10
tensorflow10
neural-network10
cprogramming-language10
background-process9

Programming languages (20)

JavaC++CSSRustCCMakeScalaElm

Github contributions (5)

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Dobiasd/frugally-deep

Jul 2016 - Jan 2023

A lightweight header-only library for using Keras (TensorFlow) models in C++.
Role in this project:
userBackend Engineer & Machine Learning Engineer
Contributions:86 releases, 19 reviews, 1291 commits in 6 years 7 months
Contributions summary:Tobias appears to be working on the core logic and model integration within the frugally-deep repository. They focused on an optimization strategy, debugging, and developing training related functionalities with a particular focus on working with Keras (TensorFlow) models in C++. This includes implementing key layers, and adding the ability to incorporate various machine-learning techniques and concepts, such as Relu6 and different approaches to layer initialization.
pythonkeras-modelsc-plus-pluskeras-tensorflowheader-only-library
conan-io/conan-center-index

Jan 2021 - Jul 2022

Recipes for the ConanCenter repository
Role in this project:
userBack-end Developer
Contributions:3 reviews, 5 commits, 17 PRs in 1 year 6 months
Contributions summary:Tobias primarily contributed to adding and updating recipes for the `frugally-deep` Conan package within the ConanCenter index. Their work involved modifying the `conanfile.py`, test package files, and adding new versions of the package as they were released. The contributions also included updating dependencies, like `functionalplus` and `nlohmann_json`, along with bumping versions.
dependenciescpprecipespackage-managerconan-recipe
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