Skills
Algorithm, Data analysis and machine learning, Web-based software engineering, Tensorflow, Pytorch, Scikit-learn, SQL, NoSQL database programming, Java, Linux, Agile, JavaScript, Nodejs, Angular * Hadoop, Kafka, Hive, Artificial Intelligence, NLP, Docker, Kubernetes, cloud, scalability, sentiment analysis, Machine Learning, deep learning, Kibana, dimensionality reduction, Python, Numpy, Pandas, web scraping, bugs
Projekthistorie
Fintecsystems GmbH - Linden Office, HE
* Solved actual business problems in various domains by utilizing cutting edge NLP technology like
Bert, Fasttext, Torch etc.
* Ensured in every step on the way that api's and models are performant and robust in a
production environment. In production environment Docker, Kubernetes and cloud
technologies where used to ensure scalability and reproductivity
* Applications range from sentence classification and sentiment analysis to fraud detection in
financial transaction data
Fintecsystems GmbH - Linden Office, HE
* Created deep learning classification service during my bachelor thesis using Pytorch, Scikit-learn,
Kibana, various dimensionality reduction techniques, Python, Numpy, Pandas
* Developed machine learning deployment, test and monitoring solution
* Extended legacy Java classification services
Klarna GmbH - Linden Office 2 Linden, HE
* Worked on Sofortüberweisung, a financial web scraping application used by millions of
customers every month
* Worked with software development team in agile environment to design and develop robust
webscraping solutions to meet customers requirements for functionality, scalability and
performance
* Modified existing webscraping interfaces to fix bugs, upgrade interfaces,
incorporate new features and improve overall performance.