Anna Romanov is a data scientist with eight years of experience blending research-grade machine learning and production engineering to solve real business problems. Currently at Unity, she has full ownership of end-to-end projects from data collection and modeling to deployment and stakeholder communication, with prior roles building risk models and time-series/NLP solutions at Spott. Her background includes hands-on SDK and computer vision work at Intel’s RealSense team—where she contributed notable open-source enhancements to PLY export and texture mapping—and research in medical informatics. A Technion CS graduate with a top-scoring MSc in Machine Learning from Ben-Gurion, she combines rigorous academic training, military intelligence analysis, and practical software craftsmanship to move prototypes into reliable production.
8 years of coding experience
5 years of employment as a software developer
Bachelor's degree, Computer Science, Bachelor's degree, Computer Science at Technion - Israel Institute of Technology
Master's degree, Machine Learning, 96.5, Master's degree, Machine Learning, 96.5 at Ben-Gurion University of the Negev
Contributions:174 commits, 34 PRs, 1 push in 1 year 10 months
Contributions summary:Anna's contributions centered around the implementation of features related to the PLY file export functionality within the Intel® RealSense™ SDK. They introduced a "dummy function" for export, fixed texture mapping issues, and implemented the "ply_export" feature, including support for exporting point clouds with textures. This work involved modifications across multiple files, including those related to frame handling, data archiving, and the definition of API functions.
Contributions:14 commits, 1 PR, 109 pushes in 1 year
payment-methodsintelsdkrealsenserealsense-sdk
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