Reihaneh Vafaei

Reihaneh Vafaei

Network and Wireless Ad hoc Network Researcher

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location of Reihaneh VafaeiStockholm, Stockholm County, Sweden

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  • Timeline

  • About me

    Transformation Project Manager

  • Education

    • Azad University Najafabad(IAUN)

      2002 - 2006
      Bachelor's Degree Computer Hardware Engineering
    • Chalmers University of Technology

      2013 - 2015
      Master's Degree Network and Distributed System
    • KTH Royal Institute of Technology

      2015 - 2015
      Engineer’s Degree Computer and Electrical Engineering B

      IT-Security I IT-Security II

  • Experience

    • Sepahan Oil Company (SOC)

      Jan 2006 - Jan 2007
      Network and Wireless Ad hoc Network Researcher

      My responsibility was to explore current ad hoc technologies by researching algorithms,protocols and hardware.

    • Royan Ravansaz Naghshe Jahan Company

      Jan 2007 - Jan 2009
      Network Administrator Assistant and Project Manager

      My responsibilities were to help and to control the projects schedule.In Network field, I was in charged to do troubleshooting to find and correct issues with complex machines and in additional to restore basic PC hardware and software,Terminate network cables.

    • Chalmers University of Technology

      Jan 2013 - Jun 2015
      MPCSN - COMPUTER SYSTEMS AND NETWORKS, MSC PROGR
    • KTH Royal Institute of Technology

      Oct 2014 - May 2015
      Computer and Electrical Engineering

      IT-Security I IT-Security II

    • Acreo Swedish ICT AB

      Oct 2015 - Jun 2016
      Master Thesis Researcher

      Automated Monitoring Configuration and Aggregation in Network Function Virtualization

    • Viaplay Group

      Feb 2017 - now

      *Acted as a Tech manager between IT and business stakeholders, bridging gaps and optimizing systems.Conducted research and development on emerging technologies in intelligent automation and quality assurance*Successfully Implement Azure AI Document Intelligence for automating data extraction, documnet classification and enhanced search capabilities.*Utilized Azure AI Document Intelligence to automate the extraction of key fields (e.g., invoice number, vendor details, payment terms, and total amount) from invoices of varying formats. Integrated the solution with an existing ERP system for seamless data validation and processing.*Established a track record of building strong customer relationships by aligning technical solutions with business objectives, acting as a customer advocate to influence solution roadmaps, and driving positive customer satisfaction.*Assisted clients in deploying Large Language Models (LLMs) for autonomous content generation.Utilized Amazon SageMaker to streamline the building, training, and deployment of machine learning models, providing clients with comprehensive tools and an integrated development environment Show less I have designed and developed applications to facilitate seamless two-way integration between systems. This includes connecting an agile system with Slack using Azure and integrating a finance system with a payroll system and Hogia system driven by GitHub Copilot and Python. The process progresses through key phases, where Copilot assists in retrieving and processing financial data from Hogia, ensuring accuracy and coherence. It aids in code development for seamless integration with the payroll system, including testing and validation for functionality. Deployment is followed by monitoring, facilitated by Copilot's insights, resulting in an efficient payroll integration system. Show less

      • Transformation Project Manager

        Feb 2022 - now
      • Process and Integration Software Engineer

        Dec 2019 - Feb 2022
      • Test Automation Developer

        Oct 2017 - Dec 2019
      • Technical Test Analyst

        Feb 2017 - Oct 2017
  • Licenses & Certifications

  • Honors & Awards

    • Awarded to Reihaneh Vafaei
      Hackdays Award(Artwork Personalization) Hackdays Aug 2019 As a team leader, we implemented the idea called Artwork Personalization which helps recommendation system to convince user to watch new movies and series.
    • Awarded to Reihaneh Vafaei
      Challenger Program - Sep 2018 Nominated as one of the challengers in Challengers Programme as a talented programme in Sweden that rewards, motivates and acknowledges passionate tem members.