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Quick Introduction

As a passionate autodidact, I already developed a great affinity for software development in my early years. Starting with smaller software projects eight years ago, my curiosity moved me ever further into the field of digital information processing - a fascination that is still growing today. I learned early to not only focus on higher levels of abstraction in programming, but always strived to understand systems and their context from the ground up in order to build the deepest possible understanding of the technical realities. Furthermore, I think it is not all about attaching great importance to a technically knowledge base, as this represents only a tool for realisation. In my opinion, it is equally essential to understand the dynamics and resulting processes that a information system should depict, because their technical implementation can only take place in combination of both domains at a appropriate level. Currently I am attending the private university Steinbeis - School of Management & Innovation with the degree program IT-Management.

Frequently applied

Data driven organization models
Continuous value chain focused

Development of information systems
Organisational, Analytics, Reporting

Machine-Learning
End-to-End Solutions, Neural Networks, TensorFlow

Parallel Programming
CUDA, VHDL, Verilog

Web-Development
HTML, SCSS, AngularJS, NodeJS, Neo4j, Kubernetes, PHP

Network-Infrastructure
Ubuntu/Windows Server

Primary Fields

Business Process Management

Startups, Strategic Analysis, Data-driven business models, CRM, Infrastructure

Artificial Intelligence

Machine-Learning, Neural Networks, Data-Analytics: Predictive Maintenance

High-Level Coding

HTML5, SCSS, AngularJS, NodeJS, Neo4j, Kubernetes, Java, Python, C++

Low-Level Coding

Parallel Processing, Machine-Learning Hardware, FPGA, CUDA, VHDL, Verilog

Education & Jobs

Since August 2018 Porsche Innovation Lab Ludwigsburg, Germany

Mai 2018 - April 2021 Steinbeis School of Management & Innovation
Course: IT-Management Berlin, Germany

Jun 2017 - Sept 2017 Porsche Machine Data Analytics to develop concepts for predictive Maintenance Ludwigsburg, Germany

Jan 2017 - Apr 2017 Porsche Machine Data Analytics with Deep-Neuronal-Networks Ludwigsburg, Germany

Sept 2013 - July 2016 Abitur Technisches Gymnasium Backnang, Germany

Recent Vocabulary

German

English

French

My Interests

Research
Travel
Writing
Chill
Music
Sports
Nature

Tweets by DaniD

Work

socialSynergy
2018
Developing a new kind of decentral platform to transform the way we think of and interact with organisations and the capital system.

We combine hard to use technolgies like blockchain, machine-learning and group project planing into one simple to use tool for everyone.

duhastdiewahl.org
2017
Developing a self organising political party for Germany

A new approach to direct democracy

Fundamental Research applied Neuroscience

2017
Develop neuronal solutions for logical problems with higher dimensional objects
Trying to mimic the up to 11-dimensional neural architecture topology of real biological brains via tensorflow and algebraic topology.

Sensor data analysis
2017
Examination of big-data sensory data using neural networks to derive predictive maintenance approaches
[Document][PDF][GER]

MachineLearning Automotive
2017
Focus Areas: Neuronal Networks / TensorFlow / Hardware-Architectures / Future Developments
[Prasentations][PPTX]

Conducting Presentation about Machine Learning @Porsche

Conducting a presentation about Machine Learning and TensorFlow @HQ
2017
Focus Areas: Neuronal Networks / TensorFlow / Hardware-Architectures / Future Developments

Leading the team @Porsche ShipITDay
2017
Developing a predicitve maintenance systems for Porsches after sales ecosystem A public description cannot be emitted.

Leading the team @FraunhoferIAO
2016
Developing an app called "Safevent" to increase the safety of events in the cities of tomorrow.
The app, once activated, warns you for dangers in your particular location and in case guides you in the opposite direction, optionally supported via led display for indoor installations. The concept also includes the feature direct communication to directly connect you to the nearest police officer to safe expensive seconds.

Parallel data processing
2015
The Adapteva Parallella Development Board contains 16 indivdually via python programmable RISC processors.
Good for experimentations to further understand the challenge with real-time parallel data processing on a low-level perspective

Project Evovable Hardware
2015
Genetic Algorithms and Evolvable Hardware
We used evolutionary algorithms and neural networks to self-develop FPGA circuits designs to accelerate the training and production use of themselves.

Conscious Subconsciousness

8 Jan, 2017

10 quadrillion parallel netflix streams and the human brain

An imagination experiment about the computational power of the human brain

Even if it is likely impossible to estimate the gigantic quantity that is provided by the only 20 W consuming interconnected neuron computer in our heads, or trying to convert that to something like a numeric value..

A quantum perspective on learning

Why the brain could be a big cloud computer and why we wouldn’t see it: A theory about quantum grid learning

When we speak about the quantum world, we enter a place with infinite possibilities. Particles spin in infinite directions at once (superpositon) and wouldn’t that be enough, they are also able to interact with each other instantly over infinite distances. In a human mind state this is..

The Global Consciousness Project

Coherent consciousness creates order in the world.

When human consciousness becomes coherent, the behavior of random systems may change. Random number generators (RNGs) based on quantum tunneling produce completely unpredictable sequences of zeroes and ones. But when a great event synchronizes the feelings of millions of people, our network of RNGs becomes subtly structured. We calculate one in a trillion odds that..