Software Engineering graduate and Vast Data Bootcamp alumnus specializing in Data Science and Machine Learning. I combine practical full‑stack development experience with applied ML/DL for real‑world data pipelines. I am a strong analytical thinker, creative problem solver, and an adaptive, responsible learner.

• Software Engineer with hands‑on experience in both backend and frontend development, and practical applied experience in machine learning, computer vision, and real‑time data processing.
• Experienced in designing and deploying containerized microservice architectures, building streaming pipelines, and developing ML/DL models for production use.
• Effective collaborator in cross-disciplinary technical teams; comfortable working with cloud technologies and distributed systems.

A cloud‑based smart agriculture platform for real‑time aerial imagery analysis and automated anomaly detection.

• Developed ML/DL models for anomaly and object detection in aerial imagery, including data preprocessing and model evaluation.
• Implemented microservices with Apache Flink to support event‑driven processing and reliable data matching across distributed services.
• Built streaming pipelines using MQTT and Kafka with Flink to enable real‑time data ingestion and dependable inter‑service communication.
• Implemented FastAPI backend services in Python.
• Designed and deployed a PostgreSQL database enhanced with GIS extensions for spatial data handling.
• Containerized and deployed a multi‑service environment using Docker.

A full stack scooter rental application.

• Frontend implemented with JavaScript, HTML and CSS; integrated with a Node.js backend and SQL database.
• Handled product management interfaces and map‑based location display.
• Integrated Google Maps API for location services and routing.

Backend operations system for airline workflows.

• Developed backend services using .NET Core with SQL database integration.
• Implemented data analysis features to support operational decision making.

• 2025 — Data Science & Machine Learning Bootcamp (Vast Data / KamaTech Bootcamp)

  • Built a full cloud‑based project, implemented ML and Deep Learning models, worked with advanced cloud technologies and microservices, and collaborated in multi‑disciplinary technical teams.

• 2023–2025 — Software Engineering Studies (MAHAT Certification)

  • Graduated with honors. Completed advanced coursework in software development, AI, and mathematics.

• Programming Languages: Python, Java, C, C++, C#, JavaScript
• Machine Learning & AI: PyTorch, Computer Vision, Deep Learning
• Data Processing & Analysis: NumPy, Pandas, Matplotlib, Seaborn
• Backend & APIs: .NET, Node.js, Java, FastAPI, RESTful APIs, SQL, PostgreSQL, MongoDB
• Frontend: React, Angular, HTML, CSS, JavaScript
• Streaming & Distributed Processing: Kafka, Apache Flink, MQTT
• DevOps & Deployment: Docker, containerized multi‑service deployments
• Operating Systems: Linux, Windows

Probability, Calculus, Discrete Mathematics, Linear Algebra, Algorithms & Data Structures

• Hebrew — Native
• English — Professional proficiency

• Youth mentor for teens with special needs: group facilitation and activity leadership.
• Tutor for underprivileged children in Math and English (MANOF organization).