• Designing and developing map layers for REM – Mobileye's crowd-sourced HD Map for autonomous driving and advanced driving assist (Python, AWS, Spark).• Leading the algorithmic and production readiness of REM China team, creating a map for Mobileye's 1st production consumer autonomous vehicles (200k Geely vehicles on the road already). • Overviewing China-specific algorithms and infrastructure development in close collaboration with Chinese development managers.

• Leading "Behavioral Semantic" team, adding semantic features to REM Map based on crowd behavior.• Leading the research and development of several critical layers for driving, including several speed layers and lanes priorities.• Managing a diverse team of up to 9 algorithm developers.

• Working on the alignment part of map creation flow, aligning GPS-based drives data to centimeter-level accuracy using geometrical and statistical approaches.• Design, implementation, and ownership of a major part of alignment steps.

• Designing and implementing the entire server side of the Moovit Carpool project (Java, AWS). • Implementing a client analytics collection framework, using AWS Kinesis, S3 & Redshift.• Implementing key app features including user accounts (Facebook/Google API, Redis, S3)

• Designing and leading the development of several Java time-critical gateway servers.• Developing multi-threaded server side infrastructure using J2EE and WebSphere.• Working in a continuous integration environment implementing TDD methodologies.• Managing a team of up to 7 developers using Agile, Scrum methodologies.

• Developing an expert system for processing mass real-time data from numerous sources.• Implementing both client (Java) and server (Ada) side features and connecting between the two.• Developing a multi-threaded gateway for raw data processing, using JNI and fine memory management.

• Implementing solutions for several optimization & decision support systems (Matlab, Java, C#).• Developing POC projects, defining requirements with clients.