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General Information

Full Name Bar Lerer
Languages Hebrew, English

Education

  • 2023
    M.Sc in Computer Science
    Ben-Gurion Univeristy of the Negev
    • GPA: 95
    • Research topic: Using Deep Learning to solve the Helmholtz equation
  • 2021
    B.Sc in Computer Science and Engineering
    Delft University of Technology
    • Israeli GPA: 86

Experience

  • May 2023
    Software Engineer
    Cadence Design Systems
    • Designed and implemented smart regression features
    • Collaborating with multiple teams across the company to innovate and develop cutting-edge products
    • Integration and development of AI solutions onto existing products for higher efficiency
  • Oct 2021 - Oct 2023
    Teaching Assistant
    Ben-Gurion University of the Negev
    • Assisting students with course work while providing constructive feedback
    • Evaluating students' performance
    • Assisting lecturers in creating and assessing tests
    • Courses:
      • Foundations of Software Engineering
      • Workshop on Software Engineering Project
  • Sep 2020 - Sep 2021
    Teaching Assistant
    Delft University of Technology
    • Assisting students with course work while providing constructive feedback
    • Evaluating students' performance
    • Assisting lecturers in creating and assessing tests
    • Courses:
      • Big Data
      • Software Engineering Methods
      • Software Project
  • Jul 2020 - Jun 2021
    Research Engineer
    The Web Information Systems Research Group (TU Delft)
    • Developed Dandelion, a crowd computing chatbot, connecting researchers at TU Delft and students
    • Designed a micro-service system architecture, built according to research specifications and with scalability in mind to allow for more than 20,000 students to use the service
    • Using NLP techniques for personalized conversations, and using a RabbitMQ for a robust communication protocol between servers and users
  • Apr 2020 - Jul 2020
    Software Engineering Internship
    KPMG
    • Developed a frictionless CAPTCHA solution that is privacy-minded
    • Created deployment pipeline, running static analysis, unit and integration tests and continuous deployment of Docker containers to Microsoft Azure
    • Built an extensive back-end service using Flask, Redis and PostgreSQL, which employs heuristic estimations to evaluate humans from bots

Honors and Awards

  • 2023
    • Dean's list

Skills

  • Languages: Python, Java, Scala
  • Frameworks: PyTorch, Numpy, pandas, scikit-learn, Flask, Django
  • DevOps: Docker, CI/CD, Linux, Git

Other Interests

  • Hobbies: Tennis 🎾 and Scuba Diving 🤿