Danny Rozenberg is an R&D engineer with 11 years of experience building production-grade algorithms across AI, computer vision, and transportation systems. He has driven research-to-product work at Google on speech-to-speech translation and LLMs, led algorithm architecture and team delivery for real-time transit and ride-booking optimizations at Via, and built low-level vision and calibration systems for mobile and solar-power applications. Danny combines hands-on implementation in Python, C/C++, TensorFlow and JAX with system-level design—HLD, APIs and scalable solvers—that bridge research prototypes to operational services. He has a track record of squeezing real-time performance from state-of-the-art papers, whether for mobile image editing or city-scale mirror calibration. Based in Tel Aviv with a BSc in Computer Science from Hebrew University, he’s as comfortable tuning ML models as designing the production pipelines that make them useful. A practical problem-solver, he often surfaces unexpected system-level constraints early to keep research projects delivery-focused.
11 years of coding experience
8 years of employment as a software developer
BSc, Computer Science, 90, BSc, Computer Science, 90 at Hebrew University of Jerusalem
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Danny Rozenberg - Research And Development Engineer at Final