Senior Data Scientist - Computer Vision / Deep Learning
I am a Data Scientist with 5+ years of experience developing data driven solutions mainly in the fields of Computer Vision and Machine Learning. Other people would describe me as an ambitious and creative person. In my opinion these are the key ingredients for successful problem-solving. Fascinated by research and innovation, I have a natural interest in extending my knowledge and experiencing new professional and personal challenges.
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Here I list not only professional things, but also my hobbies.
LLL - Lifelong Learning.
Developing maintainable code.
From research to deployment.
Scalable technologies and business models.
I like to discover new places and cultures.
Nature and landscape photography.
I simply love water landscapes.
I am convinced that you have to constantly learn new things. The list of technical skills will therefore always change. Here is a small part of my current skills:
To name a few other skills:
Already during my studies I gained valuable work experience. I know what it means to work for a very small Start-Up with less then 10 employees, but also for huge corporations with more than 250k employees.
In a small Start-Up I led a young team of web developers, collaborated with external partners and prepared the transition from a single server application to a scalable microservice architecture hosted on AWS. My technical work focused on implementing a scalable data pipeline in order to train and deploy an Autoregressive Recurrent Network for sales forecasting and to enable dynamic pricing.
Implemented and designed state of the art computer vision applications (deep learning), including semantic segmentation, object detection, classification, tracking and human pose estimation. Developed real-time capable prototypes showcased to a larger audience. Consulted internal business units, supervised students and exchanged with the international research community (e.g. Oxford). I was an early team member of the AIR group (Artificial Intelligence and Robotics) and advanced the ramp-up phase.
scope of duties: industrial image processing, camera hardware, algorithms, machine learning
Topics: machine learning, computer vision, research project: ‘Cross-Platform Web Framework for Gaze Tracking’ (ACHI 2016), …
signal and system theory, programming (Java), mathematics I&II
Topics: photo-technology, image processing, computer vision, ...
I am looking forward to your message :)