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Daniel Franch is a skilled Machine Learning Engineer with extensive experience in developing advanced algorithms and software optimizations. Currently employed at Transmit Security, Daniel previously worked at Dataloop AI, focusing on computer vision research and implementing machine and deep learning algorithms in Python. Daniel's professional history also includes roles at Ping Identity and Intel Corporation, where optimization techniques for deep learning inference were utilized. Daniel's earlier experience encompasses internships and research positions, including deep learning projects using Keras and TensorFlow, and contributions to communication systems in various programming environments. Daniel holds a Master's degree in Electrical Engineering from Universidade Federal de Pernambuco and a Bachelor's degree in Electronic and Telecommunications Engineering, alongside a Bachelor of Arts in Philosophy from Tel Aviv University.