Profilbild von MahmutEmrah Sari Full-Stack & Cloud Native Software Engineer, Kotlin, Flutter || project language English only aus Hamburg

Mahmut Emrah Sari


Letztes Update: 13.05.2022

Full-Stack & Cloud Native Software Engineer, Kotlin, Flutter || project language English only

Abschluss: Informatik Ingenieur | Oslo Metropolitan University (Norway)
Stunden-/Tagessatz: anzeigen
Sprachkenntnisse: englisch (verhandlungssicher) | norwegisch (verhandlungssicher) | türkisch (Muttersprache)


DARCBLUE Mahmut E Sari Competence Profile 2022-03 ENG.pdf


  • Cloud Technology: Azure Cloud
  • Databases: Cosmos, MySQL, SQLite, PostgreSQL, SQL Server
  • Programming languages: Kotlin, Java, C#, .Net, Go, JavaScript, Shell, Bash, Python, React.js, jQuery, HTML, CSS, Spring Boot
  • DevOps Tools: Git, Docker, Azure, CI/CD
  • Working methods: Agile and Scrum
  • Additional experiences: Linux, gRPC, WebSocket, Protocol buffers, VGG-19 convolutional neural network, Jupyter Notebook, TensorFlow, Material UI, Semantic UI, Bootstrap, Prototyping and creating applications from scratch, Figma, Trello


09/2021 - bis jetzt
Developer - Implementation of project center with project cards in Azure. Integration to Unit 4 and Power BI. User interface for Portfolio Management
Vestlandske Innovasjonsselskap AS (VIS) (1000-5000 Mitarbeiter)
Transport und Logistik
  • Implementation of solution for front-end with React, JavaScript HTML and CSS and back-end with Kotlin, Spring Boot
  • Implementation of test scripts for back-end with JUnit and Mockk
  • Using Postman for manual testing
  • Implementation of maintaining project information (team, customer, etc)
  • Implementation of search/filter/sort functionality
  • Implementation of evaluation project status, progress, cost, risk
  • Implementation of stage/gate review, archiving and creating new projects
  • Implementation of export data as csv (Power BI, Excel)
  • Implementing endpoints in backend for database and front-end connection with Spring Boot
  • Cosmos DB for document store
  • Azure Static Web App for web application (Single Page Application)
  • Implementation of Azure Functions with Node.js and Azure Web Application back end
  • Assisting implementation of Azure AD for security (authentication, authorization)
  • Assisting design of architecture ​
  • Assisting implementation of DevOps toolchain CI/CD with Azure DevOps and GitHub​
Applied methods & tools:
  • Scrum
  • Azure Boards
  • Repos
  • wiki …

01/2021 - 06/2021
DevOps Engineer - Implementation of centralized debug & log tool
Digimaker AS (50-250 Mitarbeiter)
Internet und Informationstechnologie
  • Implementing a centralized debug & log tool which is an important feature of Digimaker Content Manager Framework, especially in cloud environment, by using Go, gRPC, Protocol Buffers, WebSocket, HttpSocket, SQLite, React, TypeScript.
  • Created the database for storing log data generated by other servers based on SQLite3 by using code-first technique
  • Implement web-socket connections in front-end.
  • Implement web socket, gRPC and protocol buffers for live data streaming between backend and frontend
Applied methods & tools:
  • Kanban Board
  • Trello …

06/2020 - 01/2021
Developer - Development of mobile application for media and information literacy (MIL) project
Norsensus Mediaforum (50-250 Mitarbeiter)
Internet und Informationstechnologie
  • Development of mobile application for media and information literacy (MIL) project
  • Erasmus+ project that aims to enhance media and information literacy (MIL). Partners from 3 other European countries.
  • Responsible for developing a mobile application using gamification elements to support youth organizations on several aspects concerning media literacy.
  • Prototyping with Adobe XD and pen-paper and developing of the application
  • Assisting the UX designer for improving the product quality
  • Developing front-end with Flutter and Google Cloud Platform
  • Implementing authentication

Applied methods & tools:
  • Kanban board
  • Google Cloud Storage for Firebase for user-generated content

08/2019 - 11/2019
DevOps Engineer - Deployment of monitoring and Alerting solution based on Grafana and Prometheus on VMware ESXI
Oslo Metropolitan University (500-1000 Mitarbeiter)
Öffentlicher Dienst
  • Investigate the accuracy performance and robustness of VGG19 (convolutional neural network) trained with bidirectional learning on ImageNet dataset.
  • Apply the architecture (VGG19) on the CIFAR-10 Convolutional Neural Network (CNN)-code  
  • Convert CNN to VGG19
  • Adjust the dataset with the vgg_preprocessing model by using NumPy
  • Implement weights, biases, classifier, generator, and so on.
  • Generate CSV files as result
  • Generate Accuracy, Classifier Loss and Generator Loss for 20 epochs graphics by using Python and related libraries
Applied methods & tools:
  • Scrum,
  • Ubuntu Workstation,
  • TensorFlow

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