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The Hebrew University

Lev Academic Center (JCT)

- Leading a team researching privacy-preserving multimodal foundation LLM  
- Tech lead for automatic modeling infrastructure used for large-scale personalization across dozens of Google products, including Chrome, YouTube, Play, and Search.
-  SKAI: an AI-powered damage assessment tool that shortens damage assessment from 3 weeks to 24 hours post-disaster

Staff Software Engineer, Google Research & Machine Intelligence

Senior Software Engineer at Google Duplex

Software Engineer

•	I was part of the team developing Multi Factor Authentication (MFA) - A cross platform, security related solution (Android, Windows DT and metro, iOS, OSx). The project involved development in C++, Java, and objective C, and included work with cryptography standards such as ASN.1, SSL, x509 Certificate based PKI.
Intel MFA is focused on the future of secured connectivity and authentication. It corporated resources utilizing Intel Protected Technology to allow "no password" user experience. This project is part of Intel’s Biometrics Multi-Factor security engine and services.
•	Intel Small Business Advantage - Key contributor in the development of a solution for the Small Business Sector. Involved development of a Windows service in C# with a user interface in MVVM WPF. A focal point in the team for advice; mentored peers in C#, WPF, MVVM pattern and other subjects. Provided coverage for an outward facing customer support team. 
•	Participated in an innovation week – Adding mobile devices the capability to be aware of their spatial location.

• Implementation of E2E solutions on multiple platforms.
• Early adaption of new (pre-market, prototypes, and beta-versions) technologies. 
• Refinement and implementation of requirement documentation.
• Technical analysis of projected usage models, research and feasibility checks on different platforms.
• Using multiple technologies and languages, including: Java, C++, C#, Python.

Prototyping and Solution developer

Teaching Assistant in various courses: Computational Models, Computability and Complexity, Parallel Algorithms, Probability Theory and Automata and Formal Languages for Computer Science students