Khalil Carsten is a skilled data scientist and software engineer with extensive experience in AI software development, data processing, and full stack development. At Neoway, notable achievements include significantly enhancing an AI architecture for identifying negative media, increasing delivery capacity by 500 times. Previous roles include developing a Python library for satellite image processing at Stefanini Brasil and leading software projects at Finatec that improved information accessibility for government agents. Khalil has also contributed to connecting patients with rare diseases to specialists through innovative applications during his tenure at Rede Nacional De Ensino E Pesquisa. Khalil holds a Master's degree in Business Administration with a focus on Data Science from USP and a Bachelor's degree in Computer Science from Universidade de Brasília.
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