Dr. rer. nat. Julian Schweizer

Key skills

Thorough analytic and mathematical mind
Clear and concise communication to peers and non-experts
Professional python programming, producing clean, structured, and maintainable code
Designing and building machine learning solutions with TensorFlow, scikit-learn
Building stable python microservices with flask, gunicorn, Docker, and Kubernetes
Handling, analyzing and visualizing data with SQL, pandas, matplotlib, bokeh

2022/10 - current Principal machine learner at Nect GmbH

Design, implementation, deployment and maintenance of production machine learning components
Significant contribution to audits proving the identification’s compliance with German Trust Service regulation and eIDAS

2019/08 - 2022/11 Team lead Computer Vision and Machine Learning at Nect GmbH

Leading a team of Machine Learning and Python engineers.
Full ownership of of the production data processing pipeline
- Topics include face detection and recognition, OCR, object detection, classification of images, audio and video, …
Design, implementation, deployment and maintenance of
- Core logic (tensorflow, OpenCV, Python),
- Python microservices (gunicorn, flask, structlog),
- Deployment on a Kubernetes cluster (Docker, Kubernetes)
Significant contribution to audits proving the identification’s compliance with German Trust Service regulation and eIDAS

2018/09 - 2019/08 Data Privacy Officer at Nect GmbH

2018/08 - 2019/08 Data Scientist at Nect GmbH

Design, implementation, deployment and maintenance of the production data processing pipeline

2017/01 - 2018/07 Data Scientist at Hermes Germany GmbH

2013/11 - 2016/10 Campus Tour Guide at DESY

Guided visitors on tours around the DESY premises
Education geared to target groups ranging from active researchers, to students, to the elderly

2013/10 - 2016/12 DESY / Universitaet Hamburg

PhD in theoretical physics (Magna cum laude) (thesis)

2008/04 - 2013/09 Karlsruhe Institute of Technology

Diplom Physik (With distinction, GPA 1.0)