Information Systems Engineering student, expected to graduate in 2027. I build software across data, algorithms, robotics, and systems.
I contribute to the BGU Racing Formula Student perception stack. My work includes ROS2 package structure, Docker-based YOLO integration, cone dataset preparation and validation, and LiDAR data conversion and export utilities.
Before university, I supported offshore wastewater treatment operations and technical review at Chevron. I also served as a Naval Combat Soldier responsible for shipboard electrical and mechanical systems. That mix of software and operational work is why I care about systems that are testable, understandable, and reliable outside a demo.
- Software engineering, data systems, and information retrieval
- Robotics perception and sensor-data tooling
- Deterministic decision support and transparent evaluation
- Stronger foundations in computer networks, software security, and AI security
Core: Python, C, C++, SQL, Linux, Git, Docker
Robotics and machine learning: ROS2, OpenCV, Open3D, YOLO and Ultralytics, scikit-learn, NumPy
Backend and data: FastAPI, REST APIs, MySQL, Google Cloud, Node.js, Express, React
Additional project experience: Java, C#, .NET, concurrency, automated testing, GitHub Actions
A search service over the full English Wikipedia corpus with title, body, and anchor retrieval experiments, inverted indexes, PageRank and pageview signals, REST endpoints, Google Cloud deployment, and MAP at 10 evaluation. The project documents why the final ranking strategy favored reliability and measured effectiveness over a heavier retrieval pipeline.
An educational clinical decision support prototype built around deterministic rules rather than opaque runtime AI. It combines a Python rule engine, FastAPI endpoints, a React interface, automated tests, trend handling, explicit evidence fields, and documented safety limitations.
A thread-safe, in-memory spreadsheet engine and multithreaded workload simulator in C# and .NET. It explores cell-level locking, reader-writer coordination, bounded search concurrency, deterministic lock ordering, CSV persistence, and practical deadlock prevention.
A full-stack meal tracking application using React, Node.js, Express, MySQL, Sequelize, and Socket.IO. It includes meal management, live dashboard updates, image-based food analysis with user review before saving, API documentation, and repeatable verification flows.
I am interested in student and junior opportunities in software engineering, data systems, robotics and perception, and systems engineering. I am also developing practical security skills for software and AI systems.