Highly motivated and exceptionally fast and efficient. Strong collaboration and team skills. Proficient in artificial intelligence tools. Learns quickly and masters new technologies rapidly. (Accepted to Technology Unit, Special Operations Directorate, IDF Intelligence.)
A unified evaluation platform for ML models across multiple benchmarks

Mentored by: Applied Materials
Data Science Bootcamp 2025 (Data)
Responsibilities:
Developed enhanced GrabCut segmentation algorithm with automatic ROI detection and intelligent post-processing.
Created extensible plugin system enabling Python-based algorithms to run transparently alongside AI models with identical metrics.
Built full-stack architecture with FastAPI backend supporting 500+ concurrent clients, PyQt6 desktop application with async workers.
Implemented distributed task queue system using Celery and Redis with 9 specialized workers, NGINX load balancing, and advanced health monitoring.
Deployed complete production stack with Docker Compose.

03-07/2025: Internship at ExtraTech
Developed a remote work time-tracking system with automated work hour detection based on computer usage analytics, including mouse and keyboard activity monitoring and website browsing analysis. Implemented work verification features through automated screenshot capture and analysis.
Technologies: Python (advanced libraries)
2025:
Developed a social fitness network platform using React and TypeScript on the frontend, with C# ASP.NET Core backend powered by SQL Server. Implemented user-generated content features (posts, likes, comments) and fitness challenge system with badge rewards. Built real-time messaging system using WebSocket technology for peer-to-peer fitness discussions. Integrated AI-powered challenge discovery using Google Gemini API to personalize recommendations based on user interests. Utilized Entity Framework for efficient database operations and WebSocket for seamless real-time communication across the platform.
Fluent