Itamar Ziv On
Skokie,IL
Summary
I am a highly motivated software engineer with a desire to take on new challenges. I have strong problem-solving and analytical skills and am adept at working effectively unsupervised or as part of a team. Finally, I quickly mastering new skills and am highly adaptable to different business and technical challenges.
Overview
3
3
years of professional experience
Work History
Software Engineer
GK8
Tel Aviv, Israel
08.2021 - 10.2023
- Developed and maintained software applications using various programming languages and technologies, including C++, Python, JavaScript, MongoDB, InfluxDB, Grafana, QT.
- Integrated third-party APIs into existing systems as needed for enhanced functionalities.
- Optimized program performance by analyzing code and making changes as needed.
- Delivered code to meet functional or technical specifications.
- Identified and resolved software defects to enhance product quality and reliability.
- Implemented efficient algorithms and data structures to optimize system performance and scalability.
Infrastructure Team Leader
Indy Autonomous Challenge
Ariel, Israel
12.2020 - 07.2021
- Developed algorithms to receive and process information from the vehicle's sensors using ROS2.
- Solved technical problems
- Debugged the vehicle's algorithms using appropriate tools and techniques.
Education
Bachelor of Science - Computer Science
Ariel University
Ariel, Israel08.2021
Skills
- C
- C
- Python
- JavaScript
- Java
- ROS2
- Linux
- Git
- Github
- Gitlab
- MongoDB
- Grafana
- InfluxDB
- QT
Languages
English
Full Professional
Hebrew
Native/ Bilingual
Timeline
Software Engineer
GK8
08.2021 - 10.2023
Infrastructure Team Leader
Indy Autonomous Challenge
12.2020 - 07.2021
Bachelor of Science - Computer Science
Ariel University
PERSONAL PROJECTS
The Maze of Waze (Java)
- This project is based on OOP, design patterns, multithreading, writing and reading files (JSON, KML), data structures, and algorithms in graphs (Dijkstra, etc.).
Road Signs Classification (Python)
- A Deep Learning project built with Python to classify road signs. The project uses various Deep Learning algorithms, such as Logistic Regression, Convolutional Neural Network, and works with Python libraries (TensorFlow, NumPy, etc.).
Army Service
- Tanks/Armors- non-commissioned officer(NCO) (2014 - 2016)
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