Wissenschaftlicher Mitarbeiter
Universität Hamburg, Dept. Informatik
Schlagwörter
neuronale Netze
Machine Learning
data science
Spracherkennung
Natural Language Processing (NLP)
Robotik ROS Python
Robotik
Keras
keras/tensorflow
Theano
Python
Django
Flask / Django
nltk
scikit-learn
Convolutional Neural Networks (CNNs)
LSTM
Recurrent Neural Networks (RNNs)
Data Mining
Data Cleansing
data visualisation
MatPlotLib
Matlab
C++
C
Java
Skills
I am a machine learning researcher and expert, started in 2011.
Until 2020, I was conducting research in the area of automatic speech recognition, natural language processing, artificial intelligence and robotics.
My focus is on applied research, which is proven by beating Google's performance in applied speech recognition (see my PhD thesis). I received a PhD in computer science in 2020.
Currently, I am building up a startup in the area of applied automatic speech recognition and working as freelancer in almost all areas of artificial intelligence and machine learning with a special focus on automatic speech recognition, natural language processing, neural networks and robotics.
In the last years, I also worked as a university lecturer in the area of fundamentals of knowledge processing, data mining and human-robot interaction.
My Expertise contains:
Neural Networks
--CNN
--GRU
--LSTM
--Echo State Networks
Automatic Speech Recognition
--Acoustic Modeling
--Language Modelling
Natural Language Processing
Data Cleansing
Data Mining
--Supervised Learning
--Unsupervised Learning
--Decision Trees
Knowledge Processing
--Intelligent Agents
--Search
--Planning
--Reasoning under Uncertainty
--Decisions under Uncertainty
--Reasoning about Individuals and Relations
--Planning with Relational Actions
Programming Languages and Frameworks:
Python (preferred)
Java
C++
C
Matlab
Linux Bash
Keras
Tensorflow
Theano
PyTorch
Scikit-learn
Numpy
Django
Prolog
Answer Set Programming
NLTK
Sphinx
Django
OpenCV
Pandas
Matplotlib
Seaborn
git
Until 2020, I was conducting research in the area of automatic speech recognition, natural language processing, artificial intelligence and robotics.
My focus is on applied research, which is proven by beating Google's performance in applied speech recognition (see my PhD thesis). I received a PhD in computer science in 2020.
Currently, I am building up a startup in the area of applied automatic speech recognition and working as freelancer in almost all areas of artificial intelligence and machine learning with a special focus on automatic speech recognition, natural language processing, neural networks and robotics.
In the last years, I also worked as a university lecturer in the area of fundamentals of knowledge processing, data mining and human-robot interaction.
My Expertise contains:
Neural Networks
--CNN
--GRU
--LSTM
--Echo State Networks
Automatic Speech Recognition
--Acoustic Modeling
--Language Modelling
Natural Language Processing
Data Cleansing
Data Mining
--Supervised Learning
--Unsupervised Learning
--Decision Trees
Knowledge Processing
--Intelligent Agents
--Search
--Planning
--Reasoning under Uncertainty
--Decisions under Uncertainty
--Reasoning about Individuals and Relations
--Planning with Relational Actions
Programming Languages and Frameworks:
Python (preferred)
Java
C++
C
Matlab
Linux Bash
Keras
Tensorflow
Theano
PyTorch
Scikit-learn
Numpy
Django
Prolog
Answer Set Programming
NLTK
Sphinx
Django
OpenCV
Pandas
Matplotlib
Seaborn
git
Projekthistorie
10/2014
-
bis jetzt
Knowledge Technology.
Forschungsfokus: brain-inspired systems, machine learning and neural networks in general,
speech recognition and natural language processing, deep learning
Forschungsfokus: brain-inspired systems, machine learning and neural networks in general,
speech recognition and natural language processing, deep learning
Reisebereitschaft
Verfügbar in den Ländern
Deutschland, Österreich und Schweiz
deutschlandweit verfügbar
Youtube - Video
Vergangenes Projekt, als Arbeitsprobe
