Florian Muchow

Working Student at @ SAP with a strong background in cloud architectures, DevOps, and SAP technologies.
Expected Graduation: September 2019

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About me

I am a passionate software developer with a focus on Cloud Computing Development from Berlin, who stands for the following personal characteristic:

Open Minded

I am always open for feedback. On the one hand, I appreciate feedback to improve my daily work, on the other hand, I do not hesitate to contribute constructive notices to enhance specific processes and of course teamwork.

Team Player

“Talent wins games, but teamwork and intelligence win championships.”

I believe in teamwork. That is not an empty phrase for me.


The IT is continuously changing. A good developer always needs to keep up with the upcoming information technics, I have decided to start my master program in Information Systems Management at the Technical University of Berlin (exp. 2019) in order to gain more theoretical knowledge in the fields of cloud computing, databases, and BigData.

Industry Experiences

My goal is to become an outstanding developer. Only theoretical knowledge is not enough to reach this goal. At my current position at SAP I have been getting hands-on experiences in the state-of-the-art fields of cloud computing and machine learning.

Technical Skills


The following section shows a selection of my technical abilities and gives you a better sense of my technical personality.




01.05.2018 - now

I have been working at the SAP Leonardo Machine Learning Foundation (about 20h / week) since May 2018. The foundation provides machine learning algorithms with the help of easy-to-use application programming interfaces (APIs) as well as corresponding cloud infrastructure for external and internal customers.

  • I am currently writing my master thesis in cooperation with SAP. The thesis deals with the improvement of the Kubernetes scheduler for batch processing (context: training of machine learning models) in a multi-tenancy environment.
  • See this project
  • I worked on a cloud application which enables automatic deployment for the Kubernetes clusters. Furthermore, this application executes health checks for the given clusters (e.g. Horizontal Pod Autoscaler, Ambassador, Istio).
  • Minor TensorFlow applications based on machine learning requirements
  • Kubernetes: Autoscaler, HPA, Ambassador, Istio, Maintenance
  • TensorFlow
  • MLFlow
  • Docker
  • Helm
  • Jenkins
  • Python
  • Go
  • Git
  • Scrum


01.04.2018 - 31.07.2018

Watchyourfac.es was a student project at the Technical University of Berlin based on the field of mobile cloud computing. The goal of this project was to set up the complete architecture for a face recognition system based on machine learning where the face recognition process will take place on the edges (Raspberry Pis) rather than on a cloud server to avoid privacy issues and unnecessary traffic between the edges and the cloud system.

  • Implemented the model training process (inlc. set up the architecture) for the face recognition software based on AWS Batch and AWS IOT
  • Set up the edge management for the backend, frontend and Raspberry Pis (via AWS IOT)
  • Defined a concept for immutable functional logs - This concept based on a hash chain and asynchronous encryption
  • Serverless Framework
  • AWS Batch
  • Auth0 (universal authentication & authorization platform)
  • Travis
  • JavaScript
  • AWS CloudFormation
  • Bash (Ubuntu)
  • Scrum
  • Git

Watchyourfac.es: Dashboard

Watchyourfac.es: Person of Interest Profile

Watchyourfac.es: A tagged Person of Interest


15.10.2017 - 31.03.2018

Pretrendr was a student project at the Technical University of Berlin. The project was an open source project to predict technology trends out of open data sources. It is a web-based solution to extract trend data out of the worlds broadcast, print and web news and predicts the future trend potential. The primary challenge of this project was to analyse a vast amount of data in real time with Elasticsearch in combination with a caching model which was based on Redis.

  • Set up the architecture for the real time data analysis with Elasticsearch and AWS EMR
  • Implemented the whole backend stack based on Spring Boot
  • Configured the continuous deployment process with Jenkins
  • Scrum
  • Jenkins
  • Elasticsearch
  • Rest API
  • AWS EC2
  • Databases: Redis and HyperSQL
  • AWS EMR in combination with Hadoop
  • Java
  • Spring Boot
  • Git

Pretrendr: Dashboard

Pretrendr: Custom Alerts

Deutsche Rentenversicherung

01.10.2007 - 31.03.2017

The Deutsche Rentenversicherung (German pension insurance) is responsible for the coordination of activities with the pension insurance institutes of the Member States of the European Union (EU), the European Economic Area (EEA) and Switzerland. I finished my apprenticeship at the Deutsche Rentenversicherung in 2013. After that, I had been working for the SAP developer department in full time for three years and as a working student for another three years (during my bachelor program).

  • Configured a workflow for automatic communication between vendors and the internal ERP-System from scratch.
  • Updated the SRM-Approval-Workflow from Version 5 to 7
  • Solved customizing and developing tasks for the SAP modules ERP-MM and SRM
  • ABAP
  • UI5
  • WebDynpro for ABAP
  • SAP Workflow Technologies
  • iDocs
  • SAP-ERP-MM and SRM
  • Asynchronous Signature Operations
  • Java

Let's Get In Touch!

Do you have any questions related to my projects, my background, or something else? I am looking forward to getting in touch with you!

© Florian Muchow 2018