Mohammed Kamal

Mohammed kamal

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location of Mohammed KamalGiza, Al Jizah, Egypt
Phone number of Mohammed Kamal+91 xxxx xxxxx
Followers of Mohammed Kamal257 followers
  • Timeline

    May 2023 - Feb 2024

    AWS Academy/ALX Foundation Participant

    alx_africa
    Aug 2023 - Sept 2023

    Machine Learning Intern

    National Authority for Remote Sensing and Space Sciences
    Current Company
    Aug 2023 - Jul 2024

    Graduation Project Member

    Siemens Digital Industries Software
  • About me

    AI Enthusiast | Top-ranked AI Graduate from FCAI | 2 x AWS Certified | Passionate about Machine Learning & Cloud Computing

  • Education

    • Faculty of computers and artificial intelligence cairo university‎‏

      2020 - 2024
      Bachelor's degree artificial intelligence
  • Experience

    • Alx_africa

      May 2023 - Feb 2024
      Aws academy/alx foundation participant

      A skilled individual with expertise in data analysis, Python development, and utilizing visualization tools such as Tableau and Power BI. Holds two certifications from Amazon Web Services (AWS) and actively engaged as a participant in the ALX Foundation Program. Dedicated to leveraging technology to drive innovation and solve complex challenges in the technology industry.

    • National authority for remote sensing and space sciences

      Aug 2023 - Sept 2023
      Machine learning intern

      Managed a team under the supervision of researchers, taking the lead as the team leader and Scrum Master within an Agile framework. Together, we collaborated on developing predictive models for wave period using CNN and RNN architectures. Additionally, we conducted feature analysis to determine feature importance, designed modules for efficient data management, and extensively reviewed relevant research papers to deepen our understanding of the field.

    • Siemens digital industries software

      Aug 2023 - Jul 2024
      Graduation project member

      **Project Description:**As part of a supervised project, I contributed to the development of a testing tool designed to verify the functionality and compliance of Physical Layer hardware components, with a focus on the encoder in the Physical Coding Sublayer (PCS) for 10 Gbit/s Ethernet. The tool adheres to IEEE 802.3 standards, implementing the 64B/66B encoding scheme to generate realistic data streams, validate the performance of Devices Under Test (DUTs), and detect errors.**Key Contributions:**- **Database API Development:** I designed and implemented a backend API to manage and retrieve test data, configurations, and results, ensuring efficient data handling and secure storage. - **Node Configuration API:** I developed an API to manage the configuration of network nodes, allowing dynamic adjustments to testing parameters and DUT settings, which enhanced the flexibility of the tool.- **Front-End Development:** Using React, I developed key components of the user interface, focusing on delivering an intuitive and seamless experience for hardware engineers conducting the tests.- **Presentation:** I was actively involved in preparing and delivering a presentation that showcased the tool's capabilities, demonstrating its impact on improving the quality and reliability of hardware verification processes.This project not only enhanced my skills in API development and front-end design but also provided valuable experience in presenting technical solutions. The tool we developed helps hardware companies ensure their Physical Layer implementations are robust, compliant, and reliable, ultimately contributing to better product quality and market competitiveness. Show less

  • Licenses & Certifications