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CV: Update
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@ -107,11 +107,11 @@
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\textit{Working for Netlight Consulting GmbH}\\[5pt]}
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\normalsize{Building ML applications and other Data Science work; Interviewing.
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A lot of Python, sklearn / NumPy / SciPy, Keras, XGBoost, Jupyter Notebooks,
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Pandas, pytest, Flask and nginx. Usually in teams using Scrum or Kanban and
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Jira / Confluence. Often Packaging, Docker, AWS S3, ECR / ECS, DynamoDB,
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Cloudwatch. Sometimes MySQL or SQLite. Of course, using git. Occassionally,
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Kafka, GraphQL, REST and Selenium were involved.}\\
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A lot of Python, sklearn / NumPy / \href{https://arxiv.org/pdf/1907.10121.pdf}{SciPy}, Keras (Tensorflow backend), XGBoost,
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Jupyter Notebooks, Pandas, pytest, Flask and nginx. Usually in teams using
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Scrum or Kanban and Jira / Confluence. Often Packaging, Docker, AWS S3, ECR /
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ECS, DynamoDB, Cloudwatch. Sometimes MySQL or SQLite. Of course, using git.
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Occassionally, Kafka, GraphQL, building REST APIs and Selenium were involved.}\\
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%----------------------------------------------------------------------------------------
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% WORK EXPERIENCE -0-
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@ -218,6 +218,9 @@ I only fixed some Java bugs.}\\
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2014 -- 2017 & \textbf{Master of Science} \\
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& \textsc{Computer Science} \\
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& Thesis about {\textbf{\color{headings}Analysis and Optimization}}\\
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& {\textbf{\color{headings}of Convolutional Neural Network}}\\
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& {\textbf{\color{headings}Architectures}} (\textbf{\href{https://arxiv.org/abs/1707.09725}{Link}})\\
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& \textit{Karlsruhe Institute of Technology}\\
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&\\
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\section{Awards}
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\begin{tabular}{rl}
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2010 & \textbf{Winner}\\
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2010 & \textbf{Winner Bundeswettbewerb Informatik}\\
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& \textit{Federal Competition for Computer Science}\\ \\
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%----------------------------------------------------------------------------------------
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2009 & \textbf{2nd prize - regional competition}\\
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& \textit{Youth Research Competition}\\[10pt]
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%----------------------------------------------------------------------------------------
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2008 & \textbf{1st prize}\\
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& \textit{data analysis competition at University of Augsburg}\\[10pt]
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% COMPUTER SKILLS
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%----------------------------------------------------------------------------------------
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\section{Computer Skills}
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\section{Technological Stack}
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\begin{tabular}{rl}
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Basic Knowledge & \textsc{JavaScript}\\
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& \textsc{Linux}, \textsc{SQL}, \textsc{PHP}\\ \\
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Intermediate Knowledge & \LaTeX, \textsc{Java}, \textsc{HTML}\\ \\
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Good Knowledge & \textsc{Python}\\ \\
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\begin{tabular}{ll}
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\textbf{Basics}& \textsc{JavaScript}, jQuery, \textsc{Linux}, \textsc{SQL}, \\
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& AWS (S3, EC2, ECR / ECS, Lambda, \\
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& Sagemaker), \textsc{PHP}, GraphQL\\ \\
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\textbf{Intermediate} & \LaTeX, \textsc{Java}, \textsc{HTML}, \textsc{CSS}, SQLAlchemy\\
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& \href{https://martin-thoma.com/docker/}{Docker}, git, \href{https://levelup.gitconnected.com/ci-pipelines-for-python-projects-9ac2830d2e38}{CI/CD pipelines}, \href{https://martin-thoma.com/rest/}{REST}\\ \\
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\textbf{Expert} & \textsc{\href{https://stackoverflow.com/help/badges/51/python?userid=562769}{Python} and it's eco-system}, including\\
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& packaging, \href{https://medium.com/swlh/unit-testing-in-python-basics-21a9a57418a0}{pytest}, \href{https://towardsdatascience.com/pre-commit-hooks-you-must-know-ff247f5feb7e}{pre-commit}, \href{https://medium.com/analytics-vidhya/how-to-test-flask-applications-aef12ae5181c}{Flask},\\
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& Numpy, \href{https://arxiv.org/pdf/1907.10121.pdf}{SciPy}, Pandas, Jupyter, OOP, \\
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% & Functional Programming, Pydantic, \\
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& \href{https://medium.com/analytics-vidhya/type-annotations-in-python-3-8-3b401384403d}{Type Annotations}, Pypika, \dots\\ \\
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\end{tabular}
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%----------------------------------------------------------------------------------------
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\textsc{English}
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& Cambridge Certificate – C1\\
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& \\
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\textsc{French}
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& DELF A2 \\
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\end{tabular}\\[10pt]
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%----------------------------------------------------------------------------------------
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\section{Projects}
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\begin{tabular}{rl}
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%----------------------------------------------------------------------------------------
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02/2016 & \textbf{The WiLI benchmark dataset}\\
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& \textit{written language identification}\hfill \href{https://arxiv.org/abs/1801.07779}{$\rightarrow$ read more}\\ \\
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%----------------------------------------------------------------------------------------
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02/2016 & \textbf{A Survey of Semantic Segmentation}\\
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& \textit{writing a review paper about the work }\\
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