Talk to sales Try for Free
Zohaib Shabbir

Zohaib Shabbir

Summer Internship

Followers of Zohaib Shabbir1000 followers
location of Zohaib ShabbirHannover-Braunschweig-Göttingen-Wolfsburg Region

Connect with Zohaib Shabbir to Send Message

Connect

Connect with Zohaib Shabbir to Send Message

Connect

  • Timeline

  • About me

    Technical Consultant/Function Owner for eSIM B2C/Data Plan - Connected Vehicle || Certified SAFe Product Manager/Product Owner

  • Education

    • Government College University (GCU), Lahore

      -
      Bachelor of Science - BS Electrical and Electronics Engineering

    • Technische Universität Chemnitz

      -
      Master of Science - MS Information and Communication Systems

      Master Thesis / Research Dissertation in collaboration with Broadband and Broadcast Department at Fraunhofer IIS, Erlangen: Enhancement of resource allocation strategies using Machine Learning for ensuring performance of Cellular - Vehicle to Everything (V2X) communications in terms of targeted quality of service (QoS) metrics.V2X Simulator was developed according to 3GPP requirements for Urban Case / Manhattan Grid Layout (TR 36.885 - release 14) describing the theoretical details for… Show more Master Thesis / Research Dissertation in collaboration with Broadband and Broadcast Department at Fraunhofer IIS, Erlangen: Enhancement of resource allocation strategies using Machine Learning for ensuring performance of Cellular - Vehicle to Everything (V2X) communications in terms of targeted quality of service (QoS) metrics.V2X Simulator was developed according to 3GPP requirements for Urban Case / Manhattan Grid Layout (TR 36.885 - release 14) describing the theoretical details for vehicle drop models, speeds, vehicular channel model, V2V traffic data etc.From the simulation results, it was concluded that Deep Reinforcement Learning based method showed implicit relationship between states and rewards as compared to random method. Each AI agent corresponding to V2V link learned to satisfy the V2V constraints with enough resources while minimizing the interference to V2I Communications, hence increasing the V2I capacity. Show less

  • Experience

    • Centro Federal de Educação Tecnológica de Minas Gerais

      Sept 2017 - Feb 2018
      Summer Internship

      Exchange Semester sponsored by IAESTE/DAAD, Germany Project: Dissemination of Emergency Messages on Low Traffic Routes Using IEEE 802.11p- Literature survey on V2X communications, VANET, localization and navigation- Vehicle movement and behavior in WLAN-V2X scenario (DSRC)- Use of IEEE 802.11p- Alerts broadcasting (vehicle position on the road, geographical coordinates)- Development of existing algorithm and programming with C++- Active participation in test drives under real-life conditions Show less

    • Fraunhofer IIS

      Apr 2019 - Jan 2020
      Graduate Research Assistant In Broadband and Broadcast Department

      Machine Learning in Vehicular Communications (Quality of Service (QoS) based Deep Reinforcement Learning for Vehicle to Everything (V2X) Resource Allocation) - Study of existing solutions for Cellular-V2X considering LTE as the baseline technology (3GPP TR 36.885, TR 36.814, TR 36.843)- Development of Machine Learning scheme suitable for wireless communication- Development of a V2X simulator (Urban Case / Manhattan Grid Layout & Freeway Case) and improvement in the efficiency of the resource allocation mechanism with suitable Machine Learning algorithm- Improvement in QoS requirements with stringent latency constraints for V2V links- Inclusion of ProSe Per – Packet Priority (PPPP) function into Algorithm to enable QoS differentiation across various traffic streams corresponding to different sidelink logical channels (3GPP TS 23.303)- Deep reinforcement learning (DRL) with dense deep neural network (DNN) has been used as a dominant approach for resource management in V2X communication- Software development work has been done using Python and TensorFlow was used as a framework for Deep Learning (DL) Show less

    • Altran

      Feb 2020 - Apr 2021
      Junior Consultant/Engineer for Volkswagen AG

      Functional Owner for eSIM B2C Dataplan / Connected Car Backend- Planning, execution and weekly structured reporting of regular, quick, full, regression, integration and HMI tests- M2M Connectivity, Vodafone GDSP, Cubic Telecom - Volkswagen Vehicle Platforms: MLB Evo, MQB, MQB_37w and MEB- Volkswagen Backends: Audi MBB Webcentre 1.5, ODP 1.0 (TUIdemo,Approval, Live) and Wireless Car

    • Capgemini Engineering

      Apr 2021 - Jun 2023
      Technical Consultant/Function Owner & SPOC for eSIM B2C/Dataplan for Volkswagen AG

      Client: Volkswagen AG (Connected Services & Enablers) and CARIAD1) Worked with "Customer Connectivity Services" feature team to support the development of features related to online connectivity, webapp data plan and eSIM B2C for Gen 2.5, 3.1, 3.2 and 4 for Volkswagen vehicles.2) Analysed error tickets (KPM, Jira) to resolve the arising issues related to connectivity, webapp data plan / B2C for Gen 2-4 for Volkswagen vehicles. 3) Provided technical support in the area of online connectivity, webapp technology4) Created & Tracked features, epics, user stories, test executions within designated feature team5) Regularly collaborated with suppliers, MNO and stakeholders for the development of the function6) Prepared and presented weekly project status report to clientTools & Platforms: Audi MBB Webcentre, ODP 1.0, WirelessCar, Jira, Confluence, Serial 2, ODIS, KPM, Cubic Engineering Portal, Vodafone M2M GDSP Portal Show less

    • MHP – A Porsche Company

      Jun 2023 - now
      Technical Consultant/Function Owner for eSIM B2C/Data Plan - Software Defined Vehicle

      Client: AudiMarkets: Japan, North America, Europe

  • Licenses & Certifications

    • Deutsch B1

      Telc GmbH - The European Language Certificates

    • Certified SAFe® 5 Product Owner/Product Manager

      Scaled Agile, Inc.
      Jul 2022
      View certificate certificate

  • Honors & Awards

    • Awarded to Zohaib Shabbir
      Sponsorship for an exchange semester from Germany to Brazil IAESTE/DAAD, Germany Sep 2017