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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 realization. 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

Development of information systems (organizational, analytics, reporting perspective)

Machine-Learning (Main Field: Neural Networks, Frameworks: TensorFlow)

Parallel Programming (CUDA, VHDL, Verilog)

Web-Development (HTML5, SCSS, AngularJS5, NodeJS, Neo4j, PHP5)

Network-Infrastructure (Server: Ubuntu, Windows / Largle scale content distribution)

Primary Fields

IT/Business Consulting

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

Artificial Intelligence

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

High-Level-Programming

HTML5, SCSS, AngularJS5, NodeJS, Neo4j, Java, Python, C++

Low-Level-Programming

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

Education & Jobs

Mai 2018 - April 2021 Steinbeis School of Management&Innovation: 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

My Interests

Research
Travel
Writing
Chill
Music
Sports
Nature

Conscious Subconsciousness

Comments

Daniel J. Werner

Neuroscience

8 Jan, 2017

Why your brain could stream 10 quadrillion Netflix-Streams at the same time

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..

Does the brain cloud computing? 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

If 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..

Work

duhastdiewahl.org Developing a political platform - current status: early open beta

[RESEARCH] 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 algebraic topology

[PDF][GER] Theoretical Sensor-Data Analysis Examination of big-data sensory data using neural networks to derive predictive maintenance approaches

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

Conducting Presentation about Machine Learning @Porsche

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