Caio (Kyle) Gomes

About

I'm an enthusiast of Data-Driven Products, Data Engineering, and Data Science. For the last fifteen years, I've been closing the gap between Data Science, Computer science, and management/commercial teams. Nowadays, my main areas of activity are Search, User Profiling, NLP, and general data science. I previously worked with Big Data GIS Systems and Information Retrieval. Millions of monthly unique visitors use these systems on several websites and mobile applications. My primary purpose is to create software based on complex data, adapting to each user and their needs and bringing together a digital and offline environment. I managed high-level teams in several large companies with considerable experience in software development and scientific work. Those teams work with each project development team leader to create data-based projects, in a plural environment, with designers, programmers, UX specialists, and data scientists, since creation, product goals, and building data-driven functionalities. My secondary interests include functional programming, Quantitative Finance, Scientific Research, and Information Retrieval. Technically, I'm fluent in several programming languages like Scala, C#, Java, and Python. I'm also one of the pioneer's users of Big Data tools on the Brazilian internet, such as Hadoop, Spark, Storm, Kineses, and Big Query. In addition, I constantly work with large providers, especially AWS, Azure, and Google.