Junior Data Scientist, Data Scientist, software engineer
Graduation:
M. Sc. Computer Science
Hourly-/Daily rates:
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Languages:
German (Native or Bilingual) | English (Full Professional) | Italian (Native or Bilingual) | Portuguese (Elementary) | Spanish (Limited professional)
Data Engineer, Software Architect, System Engineer
Münchener Zeitungs-Verlag GmbH & Co.KG
(Media and Publishers, 5000-10.000 employees)
One of the largest publishers in Germany is in the process of migrating their multimedia resources (articles and images) to a new redaction system. The challenge is to transfer all data whilst maintaining the data consistency and integrity in the new environment. Also, due to the large size of the dataset, a process that runs robustly and reliably run over a time span of months has to be implemented and deployed. In addition to that, the newly integrated data has to be analyzed by AI services. Therefore, we provide a framework built with NiFi that continuously enriches the content with AI algorithms and ensures that data quality as the dataset is fed with new input.
Machine Learning Engineer, System Engineer, Project Manager
Gradyent
(Energy, water and environment, 10-50 employees)
Conception, planning and development of a solution for optimizing the operation of a district heating network using physical simulation, demand prediction and data from temperature and pressure measurements. Currently the project has moved to the second stage, with the goal of modelling and minimizing heat losses in the network
Technologies: python, numpy, pandas, tespy
04/2019
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05/2019
Machine Learning Engineer
CVAid Medical AI
Given video sequences of patients performing facial movements as part of a medical diagnosis test, the system should differentiate between the following degrees of Stroke: No Stroke, Mild, Stroke, Severe as well score for facial palsy. The system was realized using neural networks, implemented with python and tensorflow.
Results: 99% overlap of the estimation by the developed system with the medical opinion after a computer tomography scan.
Technologies: python, openCV, TensorFlow
02/2019
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03/2019
Machine Learning Engineer / Data Scientist
DUINN BV
(Internet and Information Technology, < 10 employees)
A machine learning approach capable of identifying optimal positions of and connections between multiple producers and consumers in an electricity grid, thus minimizing the cost of the grid, given the consumer demand profile.
Results: A deep reinforcement learning system, capable of self-learning, producing results comparable to the state of the art heuristics. The system is deployed in the google cloud as a REST API and was presented as a live demo at CIRED in Madrid 2019.
Echobot Media Technologies
(Internet and Information Technology, 10-50 employees)
Conception and development of a language independent classifier (machine learning) for the recognition of web pages with important content (feeds) and web pages referencing content (seeds).
Conception and development of a rule based classifier for job titles (e.g. “CEO / Head of Marketing”). A job title is enriched with information about the department and hierarchy level within the company.
Technologies: PHP, concepts of compiler construction, Mercurial
10/2017
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12/2017
Machine Learning Engineer
Echobot Media Technologies GmbH
(Internet and Information Technology, 10-50 employees)
Conception and development of a process for the creation of language independent classifiers for the discrimination of the type of a website (e.g. online shop, forum, blog, domain parking, etc. )
- Classification and topic extraction with textual data
- Master Thesis
Development of two machine learning projects at university
- Autonomous driving with Spiking Neural Networks
- Coin recognition for visually impaired 1
01/2014
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03/2014
Software Engineer
iteratec GmbH; DriveNow
Hamburg and Munich
- Software developer for the car-sharing service DriveNow
of BMW
11/2003
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02/2007
Web Developer
Freelancing
(Internet and Information Technology, < 10 employees)
Freelace Web Development
Local Availability
Only available in these countries:
Germany
Currently living in Munich. Mainly available for remote projects or projects in Munich.
Other
Angefangen hat mein Informatikerdasein schon in der Schulzeit, als freiberuflicher Web-Entwickler für einige Dienstleister und Kleinunternehmen "next door". Nach dem Abi habe ich erstmal eine Ausbildung zum Anwendungsentwickler bei einem Hardwarehersteller absolviert. Obwohl spaßig, sollte es nicht beim "Fachinformatiker im Unternehmen" bleiben - ein Studium musste her, da ich meinen fachlichen und persönlichen Horizont noch erweitern wollte. So habe ich beschlossen nach der Ausbildung mit dem Informatikstudium in Karlsruhe (KIT) anzufangen. Dort habe ich mich für verschiedenste Bereiche der Informatik begeistern können, hier einige Beispiele:
- Softwareentwicklung und -architektur
- Datenanalyse und Datenhaltung
- Computer Vision
- Künstliche Intelligenz (Reinforcement Learning, Spiking Neural Networks, SVMs, Bayessche Modelle)
- Theoretische Informatik und Algorithmen
Sowohl meine Bachelor- als auch meine Masterarbeit behandeln wissenschaftliche Probleme die mit Datenanalyse gelöst werden sollten. So war es für mich klar, dass ich die schon im Studium vertieften Data Science Kenntnisse weiterhin in meinem Beruf anwenden und erweitern wollte. Durch meine langjährige Berufserfahrung, sowohl vor, während und nach dem Studium, kann ich auch durch mein breites und fundiertes Informatik-Allgemeinwissen punkten. Die Einarbeitung in komplexe und schwierige Thematiken macht mir Spaß und gehört in meinem Beruf als Data Scientist zum Tagesgeschäft.
Junior Data Scientist, Data Scientist, software engineer
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