Max is a certified Freelance Software Engineer from Germany, supporting his clients remotely in different industries and roles. His main focus areas are AWS Cloud Infrastructure, Data Engineering and DevOps Development. His working modes are high-level and hands-on, combined with an agile mindset to deliver high-quality, state-of-the-art solutions.
Netlight is a Swedish IT consulting company. As a consultant, Max was working in the fields of Cloud, DevOps and IoT to help leaders of the digital industry to be sucessful. He worked for different clients in the DACH area and inspired the teams with his passion and hands-on knowledge to get their software projects off-the-ground and accelerate time-to-market.
Wemolo offers a turnkey solution for digital parking management. Its customers are big supermarket chains, franchise restaurants and gyms. Max founded the company together with four others in 2019. As a CTO, he was responsible for building the project, hiring, team building and making long-term strategic decision. His technological focus areas were Backend Development, Embedded Systems Design and Machine Learning.
ParkHere delivers smart parking solutions for companies and car park operators. Max developed a significant part of the software for the basestation, a microcontroller-based system collecting sensor signals and sending them to the backend. He also worked on a new IoT product to authenticate vehicles at the barriers of parking lots. In the domain of smart city, he realized a radar- based parking sensor and deployed first prototypes to various cities across Germany and Switzerland. Apart from development, Max was leading the Embedded Systems team.
Bleenco is a startup with the mission to build AI powered technologies for improving human workforce. Max laid out the foundation for “Bleenco Human”, a modular framework for human-centered safety solutions. Its applications range from attention detection in autonomous driving to detection of protective equipment in the factory. He worked in the domains of computer vision, machine learning and edge inference to build Bleenco’s first stable release of a product solution.
The research and development team at Vector was looking for a master student to evaluate the potential use cases of Deep Learning for their products and services and to provide them with a plan how to train and use neural nets in their Advanced driver-assistance systems (ADAS) portfolio. Max’s work at Vector was divided into three parts: In the first section, he created an overview about the state of the art technologies and their appliances in autonomous driving. In the second step, he sketched a process to design, train and use those deep neural networks in the ADAS domain, and showed pitfalls and best-practices to do so. In the last part, he used the created pipeline to implement a real world project. This so called end-to-end driving net started in a 3D simulation and was then ported to an embedded system inside a real car to give steering commands.
The DIY-Thermocam is an open-source, do-it-yourself thermographic camera for everyone. Its mission is to give private persons, educational institutes and small companies access to a portable and low-cost thermal imaging platform. Max started the project as part of his bachelor thesis back in 2014, and continuously worked on improving it until handing it over to a US company in 2017. The device was built by hundreds of people worldwide, forming an ecosystem of tools for open-source thermography. Max integrated a newly- released long-wave infrared radiation sensor from FLIR and built a printed circuit board to connect various peripheral devices to it.