Project in the care sector, start-up company in the field of process automation / digitization
Schlagworte
Machine Learning
Deep Learning
Computer Vision
ETL
Devops
Python
Matlab
Softwareentwicklung
Data Science
Cloud Technologies
Skills
Overview
- 14 years of programming experience (10 years Matlab, 9 years Python incl. common libraries like NumPy, Pandas, Keras / Tensorflow, Matplotlib, scikit-learn, etc.)
- 12 years of basic as well as application-driven research in international and interdisciplinary environments (DFKI, FSU Jena, DLR)
- 8 years of practical experience in concrete implementation and technical support / management of projects with various scientific and industrial partners
- 2014 M.Sc.in computer science, 2020 doctorate in machine learning
- Machine learning / pattern recognition, data science, software development
- Computer vision, classification, object detection, segmentation, regression, novelty / anomaly detection, active learning, incremental learning, lifelong learning, transfer learning and domain adaptation, causal discovery / causal inference, deep learning and traditional ”shallow” learning (e.g., GP, SVM, OLS, kernel methods, etc.)
- Data and feature engineering / ETL, data analytics and visualization / EDA, interpretability of models / data
- DevOps, MLOps, CI/CD, building ML pipelines, version management (e.g., Git)
- Computing cluster manager and distributed computing (e.g., Slurm), cloud infrastructures (e.g., AWS), containers and virtualization (e.g., Docker), web APIs (e.g., REST)
- Images, volumes / image stacks, time series, structured / tabular data
- Teamwork, communication
- LinkedIn: linkedin.com/in/christoph-kaeding-99a285136
- Google Scholar: scholar.google.com/citations?user=8RJ07aQAAAAJ
- Website: ckaeding.net
Projekthistorie
02/2023
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bis jetzt
- Implementation of a prototype (Python) for analysis and handling of structured / tabular data
- Consulting on opportunities and risks of AI
08/2022
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bis jetzt
Several short-term projects in the fields of machine learning and data science
- Analysis of structured / tabular data, including prediction of missing entries (classification and regression) and statistical analysis of relationships between variables
- Data and model visualization, visualization training progress and evolution of the model
- Traditional computer vision (image filtering), 2D / 3D semantic image segmentation with deep learning
- Consulting on the applicability and usefulness of using deep learning and machine learning in general
- Building model training pipelines (Tensorflow) and implementation of various algorithms (Python)
- Scientific writing, presentation of project challenges and results
- etc.
03/2019
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02/2022
Project in machine learning for causal inference with application in climate science
- Focus on machine learning and data-driven methods for causal inference with the goal to improve the understanding of complex dynamic systems such as Earth's climate system
- Development and study of approaches; implementation (mainly Python, also MATLAB / Octave, R) and practical application as well as large-scale evaluation
- Working in an interdisciplinary team; publication of scientific articles and presentations at international conferences; supervision of bachelor, master and doctoral students; working with international project partners
10/2014
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09/2018
Project in the field of lifelong learning for various machine learning models with application in computer vision
- Conception and development of novel approaches for lifelong learning (combination of incremental and active learning as well as novelty detection) for different model types and application scenarios goal of enabling models to adapt themselves to changing conditions
- Implementation of prototypes (mainly Python and MATLAB) and their practical use as well as evaluation
- Automated analysis of camera trap images for biodiversity research as main application example with the goal to minimize the need for manual inspection of large datasets while adapting models to unexpected animal sightings
- Publication of scientific articles and presentations at international conferences; supervision of bachelor and master students; working with international project partners
03/2014
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09/2014
Project in the area of active and incremental learning for different machine learning models with application in computer vision
- Conception and development of incremental and active learning approaches for different model types with the goal of adapting models to changing conditions
- Implementation of prototypes (mainly MATLAB, also C / C++) and their practical application as well as evaluation
04/2013
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04/2014
Project in the field of object recognition / computer vision
- Object recognition based on contour and shape obtained from unsupervised image segmentation, with the goal of instance segmentation with minimal supervision
- Validation of prototypes of bagged image features with the goal to minimize computational effort for extracting bag-of-word image features
- Estimation of facial muscle activation of defined action units from appearance with the goal to estimate the risk of facial paralysis
- Development and evaluation of algorithms (mainly C / C++, also MATLAB, R)
08/2012
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09/2012
Software development
- Development of a human-machine interface (Java) for monitoring and control of high performance compressors
11/2011
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03/2012
Software development
- Development of a human-machine interface (Java) for monitoring and control of high performance compressors
02/2011
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08/2011
Project in the field of eye tracking and computer vision
- Development of approaches for eye-tracking-based human-machine interfaces in the context of the Text 2.0 project with the goal to steer mouse cursors with gaze, guided by screen content
- Implementation of algorithms (Java) and their evaluation
Reisebereitschaft
Weltweit verfügbar
