Nov 2015 - Jan 2026
Parsberg
Autodesk is a world-leading provider of software for design, engineering and manufacturing. Known for products like AutoCAD, Fusion 360 and Revit, Autodesk develops cloud-based solutions for architecture, mechanical engineering and media production.
Sept 2019 - Jan 2026
Nov 2015 - Sept 2019
Dec 2014 - Nov 2015
Parsberg
Netfabb was a software company from Parsberg specializing in additive manufacturing. The software was used for preparing and optimizing 3D print projects. Netfabb was acquired by Autodesk in 2015.
Dec 2014 - Nov 2015
2010 - 2014
Neunburg
mtd-systems is a company from Neunburg specializing in medical software solutions and physiofeedback systems.
2010 - 2014
Autodesk Fusion is a cloud-based CAD/CAM/CAE platform for product design and manufacturing. It combines 3D modeling, simulation, CNC machining and generative design in a single application, used by engineers and designers worldwide.
Autodesk Netfabb is a software for additive manufacturing covering the entire workflow from 3D model to finished print object – including mesh repair, support generation and build optimization. Acquired by Autodesk in 2015.
FUMA (Radio and Equipment Management) is an application by DARC e.V. for managing equipment, volunteers, deployments and organizational resources in the context of emergency radio communications. As lead developer I am responsible for the technical implementation of the project.
Equipment management with event planning for hackspaces and community organizations. Allows groups to track their inventory and plan events around it. The project was deliberately archived when I decided it made more sense to adopt an established solution – a conscious build-vs-buy decision.
A collaborative YouTube jukebox built in Go. Users can queue videos, vote on what plays next, and spend “coins” to prioritize their picks – preventing queue spam while keeping things fun. Currently in late development (≈90% complete).
Presence detection system running live at the Nerdberg hackspace. Fahrmarke passively detects who is currently in the space by monitoring MAC addresses on the local network and displays the results on a simple web interface. Built in Go and used daily by our community.
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This course helps to understand the key concepts such as networking, storage, security, maintenance, logging and monitoring, application lifecycle, troubleshooting, API object primitives etc. It also help to grow the ability to establish basic use-cases for end users.
This course provides a broad introduction to machine learning, datamining, and statistical pattern recognition. Topics include: (i) Supervised learning (parametric/non-parametric algorithms, support vector machines, kernels, neural networks). (ii) Unsupervised learning (clustering, dimensionality reduction, recommender systems, deep learning). (iii) Best practices in machine learning (bias/variance theory; innovation process in machine learning and AI).
This course is a complete guide to master the SDIs. It is created by hiring managers who’ve been working at Google, Facebook, Microsoft, and Amazon. We’ve carefully chosen a set of questions that have not only been repeatedly asked at top companies, but also provide a thorough experience to handle any system design problem.
Discover how to create responsive and high performance software. Develop programs with Golang that are highly Concurrent and Parallel. Improve your programming skills in Go with more advanced, multithreading topics.
