Belsabel Woldemichael

Belsabel Woldemichael

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location of Belsabel WoldemichaelSan Jose, California, United States

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  • Timeline

  • About me

    MSCS Graduate at SFBU

  • Education

    • Eritrea Institute of Technology

      2018 - 2019
    • San Francisco Bay University

      2023 - 2024
      Master's degree Computer Science
    • Zayed University

      2019 - 2023
      Bachelor's degree Networking and Security
  • Experience

    • Zayed University

      Sept 2020 - May 2023

      Facilitated tutoring sessions aimed at guiding students in comprehending programming concepts and achieving mastery in Python Object-Oriented Programming.Proactively addressed students' inquiries and challenges concerning homework assignments, labs, and projects, fostering a supportive learning environment and contributing to their academic success. Pioneered the establishment of a dynamic community uniting students with a shared passion for Information Technology (IT).Successfully organized and hosted a series of enriching events, providing students with valuable insights into cutting-edge technologies, diverse programming languages, and current IT trends through engaging workshops and seminars. The events served as a catalyst for fostering a dynamic learning environment and promoting collaboration among IT enthusiasts. Led study sessions and workshops to enhance peer comprehension of complex concepts.Delivered targeted tutoring and mentoring services with a specialized focus on Security and Networking courses, contributing to the academic growth and success of students in these challenging subjects.

      • Software Programming TA

        Feb 2022 - May 2023
      • Vice President of Information Technology Student Association Club

        Feb 2022 - May 2023
      • Peer Assistant Leader

        Sept 2020 - May 2023
    • Technology Innovation Institute

      May 2021 - Jun 2023
      Machine Learning Engineer

      Developed and implemented a Federated Learning-based Intrusion Detection System, resulting in a significant enhancement of the institute's cybersecurity defenses against emerging threats.Created predictive models utilizing the Federated Deep Autoencoder, achieving a 99% accuracy rate in Botnet Detection, which bolstered detection capabilities.Conducted comprehensive research on privacy preservation in Federated Learning, culminating in a co-authored paper that advanced the understanding of model efficacy in cybersecurity.Optimized machine learning algorithms to enhance system performance and security, contributing to a more resilient infrastructure against cyberattacks.Utilized Python and SQL for data manipulation, model development, and analysis, streamlining workflows and improving overall efficiency indata processing.Key Technologies: Google Colab, Jupyter, Anaconda, Python (Pandas, NumPy, matplotlib, Seaborn), scikit-learn, TensorFlow, PyTorch Show less

  • Licenses & Certifications