Experience:
As a Software Engineer Intern at Papaya (Startup) from 2024 to February 2025, I actively contributed to both frontend and backend development. I built responsive frontend features using Vue.js, Nuxt.js, TypeScript, JavaScript, and JSON, while also developing backend services with Node.js and Supabase (PostgreSQL) to deliver seamless data solutions. My role involved integrating various third-party services, including authentication, GPT-based AI capabilities, real-time delivery, and checkout systems. I consistently demonstrated strong self-learning and adaptability by conducting independent research and quickly acclimating to new technologies in a dynamic startup environment. My experience also includes serving in the Israel Defense Forces (IDF) from 2018 to 2021 as a Combat Soldier and Operational Driver in the Bardelas Combat Unit, where I completed advanced infantry and operational driving training, showcasing resilience, teamwork, leadership, and problem-solving skills in high-pressure situations
Education:
I am currently graduating a B.Sc. in Software Engineering at Shamoon College of Engineering (SCE) in Ashdod, Israel. My foundational education includes a High School Diploma from Makif Gimel High School in Ashdod, Israel, completed between 2012 and 2017. During high school, I specialized in a 10-unit Computer Science track, culminating in a final project where I developed a Chess game in C#.
Skills:
I possess a diverse skill set encompassing various programming languages, including Python, JavaScript, Java, TypeScript, C#, and SQL. My expertise extends to web technologies such as React.js, Node.js, Vue.js, Nuxt.js, Spring Boot, Spring MVC, and the development of RESTful APIs, alongside proficiency in HTML and CSS. I am experienced with databases like PostgreSQL, MongoDB, Supabase, and H2 in-memory databases, and I am proficient with development tools and platforms including Git, GitHub, Jira, Jest, JUnit, and SLF4J. Furthermore, I have practical experience with CI/CD methodologies and have applied machine learning algorithms such as LSTM, Prophet, XGBoost, and Genetic Algorithms. Beyond technical skills, I am a strong problem-solver, highly adaptable, a keen self-learner, and excel in teamwork, leadership, critical thinking, communication, attention to detail, time management, resilience, and collaboration
Additionally:
My project experience includes developing an Electricity Optimization Web App (Dec 2024-Ongoing), a responsive web and mobile-friendly site using React to optimize household electricity consumption. This project involved designing and implementing backend services with Supabase and Python, incorporating machine learning algorithms for forecasting, anomaly detection, and personalized recommendations. I also practiced CI/CD workflows and built and tested RESTful APIs, demonstrating strong problem-solving and self-learning skills in complex integrations. In October 2024, I contributed to a Web Application: Social Network for Doctors, a secure, scalable medical social platform built with React.js, JavaScript, and Node.js. My contributions included creating modular frontend components with responsive UI/UX, building backend services with Node.js and MongoDB, and improving user navigation by 30% through an optimized search algorithm. I also implemented CI/CD pipelines with GitHub Actions and conducted integration testing using Jest. Most recently, in March 2025, I developed a Movie Booking Backend System in Java using Spring Boot, Spring MVC, and JPA/Hibernate, focusing on robust API development with CRUD functionality, business logic validation, and extensive unit and integration testing using JUnit. This project further honed my self-learning abilities, problem-solving skills, and adaptability in mastering the Spring ecosystem and architectural patterns
