Team

Lars Abraham

Founder & CEO

Lars has studied business administration at TU Bergakademie Freiberg. Before the foundation of dropnostix GmbH he has been co-initiator of a technology oriented outsourcing project in the field of self-restoring material at the Max Planck Institute of Colloids and Interfaces in Potsdam. In his free time he likes to travel the world, preferably by motorbike and offside of tourist trails.

Dr. Michael Breitenstein

Founder & CTO & Data Protection Supervisor

Michael leads the development at dropnostix and reverts to nearly ten years of experience in the development of hardware. After his studies at the University of Potsdam he did his doctoral thesis at Fraunhofer IBMT in biochemistry. In his private life he is a passionate mountain bike rider and enjoys the many lakes and the nature surrounded of Potsdam.

Anna Dettweiler

Product Manager

Anna holds a master degree in agricultural science. During her studies she worked for dairy farms and gained practical experience. She completes our team with her expert knowledge. Anna leads the product deployment with the goals clearly in focus and she motivates the team with her sunny nature.
In her time off she is traveling the world, a passionate equestrian, and loves to ski.

Zinayida Kensche

Data Scientist

Zina is our Data Scientist and is working on new pattern detection algorithms and their implementation for our monitoring system. She has expert knowledge from both industry and academia – a perfect match to solve our challenges.
Zina loves experimental vegan and veggie cooking in her private time. She also goes jogging and enjoys spending time sailing.

Peter A.

Senior Software Engineer

Peter is a longtime expert in software development. With fun and happiness he is working very focusedly on the dropnostix software and server infrastructure.
In his private time he is a wannabe bassist, rides longboard and he would like to surf more.

Stefanie Krieger

Veterinarian

Stefanie is veterinarian and is doing her doctorate in the field of sensor technology in dairy farming. The main topic is the experimental approach as well as testing of parameters for the daily use on the farm. She is offering her broad theoretical and practical expertise to support the team with the sensor-based pattern recognition and the validation of the data. Furthermore, our research and cooperation projects are within her responsibility as well customer service.

In her time off she likes to be creative, trying to play the mandolin and doing some workouts.