Tal Agmon

Tal Agmon is an experienced technology professional with a strong background in software engineering, data science, and AI research. Contributions to various companies include advising startups such as Vala and Stayed Up All Night, serving as a software engineer at National Semiconductor where a GCC port for an in-house RISC processor was developed, and researching machine learning applications for fraud detection at PayPal. Tal assumed the role of data scientist at Wix, focusing on a churn prediction model, and currently works as an AI research engineer fine-tuning Wix Gennie, an AI-powered website-building assistant. Previous management experience includes leading a compiler team at CEVA, where a GCC-based C-compiler for a novel DSP architecture was developed. Academic achievements include a Master’s degree in Computer Science from Ha'Universita Ha'Petuha and a Bachelor’s degree in Computer Science from Israel Jobs.