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
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
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 🤿