Skill-Profil eines fest angestellten Mitarbeiters des Dienstleisters
Einsatzorte
Einsatzorte
Berlin (+300km)
Deutschland
möglich
Projekte
Projekte
7 Jahre 3 Monate
2018-11 - heute
Automated time series analysis in medical technology?
Technical Lead
Technical Lead
Automated diagnosis of various types of cardiac arrhythmia in electrocardiogram (ECG) recordings. Integration of the developed solution into a comprehensive cloud solution for use in daily, large-scale screening.
7 Jahre 3 Monate
2018-11 - heute
Deep Reinforcement Learning
Technical Lead
Technical Lead
Self-learning controller for controlling a decision-making process with long dead times in the mining industry.
7 Jahre 4 Monate
2018-10 - heute
Deep Reinforcement Learning
Technical Lead
Technical Lead
Self-learning controller for controlling a chemical bleaching process in a wood processing factory.
7 Monate
2018-09 - 2019-03
Deep Reinforcement Learning
Technical Lead
Technical Lead
Self-learning and self-optimizing neural and real-time capable control for process automation in the pulp & paper and mining industries.
1 Jahr 7 Monate
2017-09 - 2019-03
Deep reinforcement learning on the Otto engine
Software DeveloperPythonTensorFlowC
Software Developer
Self-learning and self-optimizing neural control of combustion engines based on high-dimensional sensor data. Compression of deep neural networks and CNNs for real-time execution on the engine control unit.
PythonTensorFlowC
1 Jahr
2018-01 - 2018-12
Advanced Customer Analystics
Data scientist, consultant, external employeeOnline marketinglookalike modelingdimensionality reduction...
Data scientist, consultant, external employee
Development and implementation of deep learning use cases on millions of customer profiles.
Training and application of machine learning models to detect known errors and anomalies in acoustic data from combustion engines.
Deep learningApache SparkPython.
3 Monate
2017-11 - 2018-01
Deep Learning in Biotech
Process automationcomputer visionCNNs.
POC for the classification of individual cells using deep learning methods, development and implementation of a novel approach.
Process automationcomputer visionCNNs.
16 Jahre 6 Monate
2001-08 - 2018-01
Deep Reinforcement Learning
Technical Lead
Technical Lead
Self-learning controller for monitoring and controlling a separation process with long dead times in the mining industry.
2 Monate
2017-10 - 2017-11
Deep Learning in engine control
Anomaly detection in high-dimensional data. Dimension reduction, deep neural networks.
1 Jahr 1 Monat
2016-11 - 2017-11
Study projects
Project & development management
Project & development management
Predictive medicine?
Analysis of large amounts of healthcare data to predict diagnoses and support medical decision-making with a team of 12 students.??
Deep reinforcement learning for continuous control??
Generative adversarial networks for predicting depth information from color photos
Aus- und Weiterbildung
Aus- und Weiterbildung
7 Jahre 1 Monat
2011-01 - 2018-01
B.Sc. & M.Sc. Cognitive Science
B.Sc. & M.Sc., University of Osnabrück
B.Sc. & M.Sc.
University of Osnabrück
Machine Learning and Computer Vision
Einsatzorte
Einsatzorte
Berlin (+300km)
Deutschland
möglich
Projekte
Projekte
7 Jahre 3 Monate
2018-11 - heute
Automated time series analysis in medical technology?
Technical Lead
Technical Lead
Automated diagnosis of various types of cardiac arrhythmia in electrocardiogram (ECG) recordings. Integration of the developed solution into a comprehensive cloud solution for use in daily, large-scale screening.
7 Jahre 3 Monate
2018-11 - heute
Deep Reinforcement Learning
Technical Lead
Technical Lead
Self-learning controller for controlling a decision-making process with long dead times in the mining industry.
7 Jahre 4 Monate
2018-10 - heute
Deep Reinforcement Learning
Technical Lead
Technical Lead
Self-learning controller for controlling a chemical bleaching process in a wood processing factory.
7 Monate
2018-09 - 2019-03
Deep Reinforcement Learning
Technical Lead
Technical Lead
Self-learning and self-optimizing neural and real-time capable control for process automation in the pulp & paper and mining industries.
1 Jahr 7 Monate
2017-09 - 2019-03
Deep reinforcement learning on the Otto engine
Software DeveloperPythonTensorFlowC
Software Developer
Self-learning and self-optimizing neural control of combustion engines based on high-dimensional sensor data. Compression of deep neural networks and CNNs for real-time execution on the engine control unit.
PythonTensorFlowC
1 Jahr
2018-01 - 2018-12
Advanced Customer Analystics
Data scientist, consultant, external employeeOnline marketinglookalike modelingdimensionality reduction...
Data scientist, consultant, external employee
Development and implementation of deep learning use cases on millions of customer profiles.